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Paper Citation Record · LEDGER

Nomic Embed: Training a Reproducible Long Context Text Embedder

As of 22 August 2026, this Paper Citation Record lists 100 of 142 outbound references and 92 inbound Pith citation observations for arXiv:2402.01613.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.01613 v2

Coverage vector

measured 100 of 142 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T14:56:19.122278Z

measured 192 of 192 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 92 of 92 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:09.495463Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 142 outbound references displayed

  • verified exact5
  • verified fuzzy91
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

25
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a9e7a1ed-ac33-4509-a0d1-802bd40aea58 · outbound

This paper cites Ms marco: A human generated machine reading comprehension dataset.

Nomic Embed: Training a Reproducible Long Context Text Embedder Ms marco: A human generated machine reading comprehension dataset

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.489740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4d192f76ace456c212b2b440db7a5a8fd52047b6556963a8bac328102cfecc62

Observation 314c151e-d643-4be7-82e4-fe623400d338 · outbound

This paper cites NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.

Nomic Embed: Training a Reproducible Long Context Text Embedder NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.496213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:dfc3d3003a32d694d2e5f2d6d3b8716e29dcbd060ba8e66e2e61bcc8f1152cb7

Observation 54e40ddc-0715-462a-b23b-e6df5cad91f1 · outbound

This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.

Nomic Embed: Training a Reproducible Long Context Text Embedder Bowman, Gabor Angeli, Christopher Potts, and Christopher D

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.498828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d19c6f5d88cd8005ea2efbbd55c9ef6f7a626b061c8fdbb66e623df3ad663938

Observation 39436d80-4a01-4ef1-b90a-e09f38f14dbf · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Nomic Embed: Training a Reproducible Long Context Text Embedder Extending Context Window of Large Language Models via Positional Interpolation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:56:19.208883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f6fa109d7e37aeb981ae1a67cadff9550e8dad9845a2491950dc46dcd79b4106

Observation 8d162375-3b84-457e-811c-f2c5fa282557 · outbound

This paper cites S imple E nglish W ikipedia: A new text simplification task.

Nomic Embed: Training a Reproducible Long Context Text Embedder S imple E nglish W ikipedia: A new text simplification task

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.501295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:72f48e2bf0855c7decfc5c1c97eac97e1a42e12b36c6acb0fd722f1a63d87365

Observation 285b6235-9b7a-4ddc-be1c-4506d96f07cf · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Nomic Embed: Training a Reproducible Long Context Text Embedder Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.504023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2b185e887af163416610a4d3ca477132ae5651d3545a709c38de11184be32e35

Observation 9c24d374-2b3d-4371-be2f-20c11fdaffe7 · outbound

This paper cites Smith, and Matt Gardner.

Nomic Embed: Training a Reproducible Long Context Text Embedder Smith, and Matt Gardner

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.506801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a1b301f452d093ed2660078259a5e04fac562fb1bc6404ea2c646f975969e165

Observation 419e18bb-f66c-4ea1-b0fb-57d60ac7f3eb · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Nomic Embed: Training a Reproducible Long Context Text Embedder Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.509448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:dfb26de76bf030c975db4ffa853b82db293cac9efc144175f2515f64bd25669e

Observation 53b19985-3c9e-479f-9017-c0e2edb20363 · outbound

This paper cites Dynamically scaled rope further increases performance of long context llama with zero fine-tuning.

Nomic Embed: Training a Reproducible Long Context Text Embedder Dynamically scaled rope further increases performance of long context llama with zero fine-tuning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.512473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d0552309f7f0d233ae6e57e30d8fa7726356ff1213477c730ca6cc7e2b412c31

Observation 85788b59-cd24-406a-9e5a-69df958910d1 · outbound

This paper cites Open Question Answering Over Curated and Extracted Knowledge Bases.

Nomic Embed: Training a Reproducible Long Context Text Embedder Open Question Answering Over Curated and Extracted Knowledge Bases

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.515116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:280c2eacf5eb6b9226e4976fd2bb616f53f5c04bdf7f27eb9dd3201a65ff4ea1

Observation b8094a3c-b956-4b50-b903-b604b576c29b · outbound

This paper cites ELI5: long form question answering.

Nomic Embed: Training a Reproducible Long Context Text Embedder ELI5: long form question answering

Reference 11

Resolution
verified exact
doi, observed 2026-05-21T14:56:19.194728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4aade2ee238ae2ff1e3b2e1fa12a7001f47e0d66fc877b5fdb6791c8590211dc

Observation 1f09c932-de58-4aab-8940-e9c5f22442be · outbound

This paper cites Overcoming the lack of parallel data in sentence compression.

Nomic Embed: Training a Reproducible Long Context Text Embedder Overcoming the lack of parallel data in sentence compression

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.517945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a11f0f6626c0db756d8998794b67f68741b2c60e9886cba8459cb35e4e01e62c

Observation 0572fa77-ddab-4e9d-8649-8ce520de351b · outbound

This paper cites Wikimedia downloads.

Nomic Embed: Training a Reproducible Long Context Text Embedder Wikimedia downloads

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.520456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:419e992f3a09509362c25678e93ef0433da9473f4d646ac067907d29185b1dfc

Observation b0805e6c-5e63-41b8-a3aa-0713b421fa40 · outbound

This paper cites Condenser: a pre-training architecture for dense retrieval.

Nomic Embed: Training a Reproducible Long Context Text Embedder Condenser: a pre-training architecture for dense retrieval

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.523431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:da39027d6bb63fe4e2b1f2b85c3c0e3b7028cd1aa643ebc4af6be3aeb3ab5928

Observation e359ca93-aafa-4a85-9aae-69828a38a431 · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

Nomic Embed: Training a Reproducible Long Context Text Embedder Simcse: Simple contrastive learning of sentence embeddings

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.526182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:af218a82cc4f10c9f5af7f8cfe28b105527641c7bf3ba13eb719842090be6ca8

Observation 9840d2a4-8d9c-4057-baea-3ef6abe9848f · outbound

This paper cites Cramming: Training a language model on a single gpu in one day.

Nomic Embed: Training a Reproducible Long Context Text Embedder Cramming: Training a language model on a single gpu in one day

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.219180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b278e801b04d8acae839b4548286fe9d2c672088e57b67f5aa4b96793e545785

Observation 6da2ca3d-5c77-4c9e-b24c-a0658ac15223 · outbound

This paper cites Amazonqa: A review-based question answering task.

Nomic Embed: Training a Reproducible Long Context Text Embedder Amazonqa: A review-based question answering task

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.221832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9aa2c6a1edf1824f97eee72f68e2fb31a9cb43a85780fb7bf0abab971b00ac5a

Observation 39de8126-3ed9-4690-9361-a81839719b56 · outbound

This paper cites Jina embeddings: A novel set of high-performance sentence embedding models.

Nomic Embed: Training a Reproducible Long Context Text Embedder Jina embeddings: A novel set of high-performance sentence embedding models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.224514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:61647558bd0b0dc344bb7491f691260180f477f9b2bb9af106f949bff887638b

Observation 3913f70a-83cf-4002-b50d-35586c03d5f5 · outbound

This paper cites Jina embeddings 2: 8192-token general-purpose text embeddings for long documents.

Nomic Embed: Training a Reproducible Long Context Text Embedder Jina embeddings 2: 8192-token general-purpose text embeddings for long documents

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.226938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:596f0acb711c78fd05384627e9ece3d502e386f046b82d5e9502748a95f86859

Observation b02eee10-6482-4944-a7db-f0d3f869285c · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Nomic Embed: Training a Reproducible Long Context Text Embedder CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:56:19.216423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:3f955b9e8d929c980983b7d1c74115c326d3b4722de0aae4d674fc94c6f34582

Observation faf76da3-bb44-4b6d-9782-244277514364 · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning, 2022 a.

Nomic Embed: Training a Reproducible Long Context Text Embedder Unsupervised dense information retrieval with contrastive learning, 2022 a

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.229800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:48cc5643ec11ee838d71ca12faa60cf75559ba1ed59eea7396bc18f087fface7

Observation c1ca809d-1724-4c05-b314-8ec8cac9fe58 · outbound

This paper cites Atlas: Few-shot learning with retrieval augmented language models, 2022 b.

Nomic Embed: Training a Reproducible Long Context Text Embedder Atlas: Few-shot learning with retrieval augmented language models, 2022 b

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.232225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7e3cbdd468ce4dde128d5b443463617e4327d7aa0ac6aa53ce7d2a9d1b5d9efb

Observation c11a1f15-179a-4380-ab7d-b5af3868be0e · outbound

This paper cites Things I'm learning while training superhot.

Nomic Embed: Training a Reproducible Long Context Text Embedder Things I'm learning while training superhot

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.234827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:cea418efe963eb7b60b3a1d5e4567a35e49e75524133a7ff971ee607d7cbec4d

Observation 9b64af63-3a4e-478a-9593-96f3ecda7fa7 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Nomic Embed: Training a Reproducible Long Context Text Embedder Dense passage retrieval for open-domain question answering

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.237429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5495d96b87506c726e6837a24be403b4b864d8ccc5d36e146afcd6022fcd118f

Observation 7fb84582-a55c-45ae-87d4-0d34c06acec5 · outbound

This paper cites Gooaq: Open question answering with diverse answer types.

Nomic Embed: Training a Reproducible Long Context Text Embedder Gooaq: Open question answering with diverse answer types

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.240051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f432065f17a90d8dadae6948491a17ac30d96ae7ae4fcc2bffccf912dc18d2fd

Observation eb85c2f3-a020-4298-b9f1-1a1f8c4a928c · outbound

This paper cites Wikihow: A large scale text summarization dataset.

Nomic Embed: Training a Reproducible Long Context Text Embedder Wikihow: A large scale text summarization dataset

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.242636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:fb841ebf49b868583491700d3bfab92a14449b4cb899792e2dd5cdf6d528d09c

Observation 3e33403a-8b87-4209-b081-9ab1186a644c · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021 a.

Nomic Embed: Training a Reproducible Long Context Text Embedder Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021 a

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.244979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:815130ee9ca8e8f764592186c12ab4d7d7b4cd696e5e443e12f5c3dccb1f7f35

Observation d2315505-6824-4096-b7a9-f1f558e63e51 · outbound

This paper cites Paq: 65 million probably-asked questions and what you can do with them, 2021 b.

Nomic Embed: Training a Reproducible Long Context Text Embedder Paq: 65 million probably-asked questions and what you can do with them, 2021 b

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.247543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d072507c099e128920368bcf690e9ca68b8c99a1cb1dc78223f1a9e6869e221d

Observation 0738004f-8d85-4ffe-847d-04cdc336f0b9 · outbound

This paper cites Towards general text embeddings with multi-stage contrastive learning.

Nomic Embed: Training a Reproducible Long Context Text Embedder Towards general text embeddings with multi-stage contrastive learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.249874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:1d207d2cbd03d7432090e7f2a2fa48e2aaba51fdcbd414dccafa6047488a13e4

Observation 052a44c9-f65d-45d4-ab99-8f98239ccf4d · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.

Nomic Embed: Training a Reproducible Long Context Text Embedder Roberta: A robustly optimized bert pretraining approach

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.252244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e020f926958dbad6516cdf7dcd3e7a2d7ad06b1204aa9bb746ec134c1e483ecc

Observation 47abd8b2-34de-4838-8d60-8c930d2614c3 · outbound

This paper cites an unresolved cited work.

Nomic Embed: Training a Reproducible Long Context Text Embedder Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-21T14:56:19.254658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:23b3c1af415a8fb53063fdda8c5c0f9598cba1fdbb8fff0b40a16fcbb81d3458

Observation bc432108-ef0f-4c6b-97cd-646fa1359e10 · outbound

This paper cites Decoupled weight decay regularization.

Nomic Embed: Training a Reproducible Long Context Text Embedder Decoupled weight decay regularization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.257085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:98471a6099d6e1cbcd524314e5423efbd4fd351233edceb41c8cac30692c5099

Observation dac1e74d-dd67-4a51-91de-33c49dad4e75 · outbound

This paper cites Scaling deep contrastive learning batch size under memory limited setup.

Nomic Embed: Training a Reproducible Long Context Text Embedder Scaling deep contrastive learning batch size under memory limited setup

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.259293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:21724446cf1a77a4246f1cc8235b80dd95f70848eb56556c152dd0bb789e69bd

Observation b5f0cbc6-442b-4318-8b2e-50af0d4ca3fa · outbound

This paper cites Mixed precision training.

Nomic Embed: Training a Reproducible Long Context Text Embedder Mixed precision training

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.261740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:81d5770398b1792a084332911a8af99ef747b49bcf1786f68b49ec66ba17b333

Observation 8ed5c440-91fe-41f8-8f26-5e91b8bb56f9 · outbound

This paper cites Sgpt: Gpt sentence embeddings for semantic search.

Nomic Embed: Training a Reproducible Long Context Text Embedder Sgpt: Gpt sentence embeddings for semantic search

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.264037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:56420483532c7d325f4c09d252cc0c8f51d710539b5705314cd5c1564c24e000

Observation 4ff9283c-29da-47cb-a622-6383858e3397 · outbound

This paper cites Mteb: Massive text embedding benchmark.

Nomic Embed: Training a Reproducible Long Context Text Embedder Mteb: Massive text embedding benchmark

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.266765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c317d1e779a182b25af48d6993de6483d56b2ede453392dd4ab33913f39b4b6f

Observation e72f69d0-afeb-4cf6-98c2-b816264f102b · outbound

This paper cites Text and code embeddings by contrastive pre-training.

Nomic Embed: Training a Reproducible Long Context Text Embedder Text and code embeddings by contrastive pre-training

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.268969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a36fa153b0fd6f81ed0c4311583dcc0f583c87bc0d92cd7b5cecbdcb5cf3f94d

Observation 8bb65fe3-8031-4af1-b7fe-0345cda5e950 · outbound

This paper cites Zhao, Yi Luan, Keith B.

Nomic Embed: Training a Reproducible Long Context Text Embedder Zhao, Yi Luan, Keith B

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.271057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:04e11992f373f5d5cff6017d1f074b0925230fae7714a22412fa743d2409f905

Observation 30298010-1f10-49a4-b944-0ae25dbaa279 · outbound

This paper cites Hall, Daniel Cer, and Yinfei Yang.

Nomic Embed: Training a Reproducible Long Context Text Embedder Hall, Daniel Cer, and Yinfei Yang

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.273225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e32c3a8272e78f67ba185932d684896d24b728f8eeeebecba5e39e2963b88c9d

Observation 315a114c-0355-4dbc-8a09-e48305294f15 · outbound

This paper cites Yarn: Efficient context window extension of large language models.

Nomic Embed: Training a Reproducible Long Context Text Embedder Yarn: Efficient context window extension of large language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.276938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:bb503bdcca3ce976538016772a160ba359cb38b5bd849461a936b3a3817b272e

Observation 74307b26-9ec3-4593-9e02-9a9655653332 · outbound

This paper cites Mosaicbert: A bidirectional encoder optimized for fast pretraining.

Nomic Embed: Training a Reproducible Long Context Text Embedder Mosaicbert: A bidirectional encoder optimized for fast pretraining

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.279172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ca45b923ebe7bb3bc3132668762e8a6483827abe1f3f54413bca7c509bee39e0

Observation 4b4f6f1b-3393-4867-8167-4326b4dd4bb2 · outbound

This paper cites an unresolved cited work.

Nomic Embed: Training a Reproducible Long Context Text Embedder Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-21T14:56:19.281229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:3619832ab7f03ff34a597011d7432114cf165139213df1c35bb006767768f11f

Observation 7bb165a0-f9c1-4d8c-ad77-10e8b7faa324 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Nomic Embed: Training a Reproducible Long Context Text Embedder Zero: Memory optimizations toward training trillion parameter models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.283427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:380aa0ca3245c257dc8afcfc88c250a4b0e72ed5f970ba5e428c49db0e613a67

Observation afe77bf6-9c14-47a6-9156-55af48e378d3 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Nomic Embed: Training a Reproducible Long Context Text Embedder SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:56:19.200047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:fabb31fd9d3d42be8a9a087464d82a9f23757dd802b8ecbbaa0f261a7e1ed3fd

Observation a2e56cbd-8123-48fe-8459-22e5d665837f · outbound

This paper cites In-context retrieval-augmented language models.

Nomic Embed: Training a Reproducible Long Context Text Embedder In-context retrieval-augmented language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.285596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9bbf83d3c7ceddb476fa62cab19917e54bbef0a6de8789d0802b710cdd2f63c6

Observation d638c389-a214-4e3a-9058-648b13e08f5d · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Nomic Embed: Training a Reproducible Long Context Text Embedder Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.288006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5f3f0dabce77a915d5ccf78a5136415b17e17246cf40271e021da21383752ce4

Observation 21f5ce5e-c312-4f5d-a02f-cc0898efb536 · outbound

This paper cites Introducing embed v3, Nov 2023.

Nomic Embed: Training a Reproducible Long Context Text Embedder Introducing embed v3, Nov 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.289983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:017909761edcb0282590c336d4b6afe0c8056ad45a487dcd1979844c6bc85008

Observation 78fb5274-983d-4833-bc3a-189fe627f68c · outbound

This paper cites Long-context retrieval models with monarch mixer, Jan 2024.

Nomic Embed: Training a Reproducible Long Context Text Embedder Long-context retrieval models with monarch mixer, Jan 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.292138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:dfcd90f41caf8029d116d48aa56fb3c7de7e1a40aa247d7dd7389a813453761e

Observation f8ec7f5d-61fe-434d-a0a7-d8ffe882877c · outbound

This paper cites SCROLLS : Standardized C ompa R ison over long language sequences.

Nomic Embed: Training a Reproducible Long Context Text Embedder SCROLLS : Standardized C ompa R ison over long language sequences

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.294341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c6d7e7bee2cd01fa5de7589ab3569243c8be8e7a29cf349f8d38ea10ffd15fb3

Observation d6cb0181-101b-4b0c-8a96-4adc1d982d67 · outbound

This paper cites Glu variants improve transformer.

Nomic Embed: Training a Reproducible Long Context Text Embedder Glu variants improve transformer

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.297662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:241340fd3a2bb1ac879b83e5f24c80c994b5f409d9e19a42310a43580bfe6b01

Observation 315201d2-7d74-4e79-9361-a568dc869d01 · outbound

This paper cites Megatron-lm: Training multi-billion parameter language models using model parallelism.

Nomic Embed: Training a Reproducible Long Context Text Embedder Megatron-lm: Training multi-billion parameter language models using model parallelism

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.300146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d4dbceeb1c2abea3a732673f27339199974204cb5a07461043c0f9a6abdfd73b

Observation c5d6d168-7178-483f-ae99-13fcbb3aa4ed · outbound

This paper cites Smith, Luke Zettlemoyer, and Tao Yu.

Nomic Embed: Training a Reproducible Long Context Text Embedder Smith, Luke Zettlemoyer, and Tao Yu

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.302158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8d9b6f067b9ffe002fd7605d1506eec2dba5bd29353d54068d01bff3f29065ca

Observation 096ea8b0-b0d0-45ab-834c-f2116ca2dfb3 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding, 2023 b.

Nomic Embed: Training a Reproducible Long Context Text Embedder Roformer: Enhanced transformer with rotary position embedding, 2023 b

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.304217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e33844e73de73702eaedaaaf783aba6d23c303d42602b92feba78c5b718842f2

Observation 8638acfd-0ce9-4798-a0d6-ab8f042a0f69 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Nomic Embed: Training a Reproducible Long Context Text Embedder Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:56:19.204582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:95cb1aa1f2e4d745a8ece988b243b9083ac4890e9f5b414c23558832869e99a6

Observation 808b42ff-3395-4f8d-bf95-f6dc383fa879 · outbound

This paper cites Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models.

Nomic Embed: Training a Reproducible Long Context Text Embedder Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.306404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a780cc08cf3b85d40cdfff430b364bb7a4ed918141098c6c982c55111336a000

Observation f024f835-5ac5-4220-b40f-1e5d413c90e0 · outbound

This paper cites FEVER : a large-scale dataset for fact extraction and VERification.

Nomic Embed: Training a Reproducible Long Context Text Embedder FEVER : a large-scale dataset for fact extraction and VERification

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.308588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:de6599484f6d7a9483d99258752d2035f7446fd7290f3fc30f606d2e8214fc4d

Observation 96b00c7a-b6b9-4249-a5a1-c2d3bffd5a6a · outbound

This paper cites Representation learning with contrastive predictive coding.

Nomic Embed: Training a Reproducible Long Context Text Embedder Representation learning with contrastive predictive coding

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.311157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:32619df09e9c7c081baa4ef49304f67991c90b16512bab1a9ccb851723fdb755

Observation 959e4e03-b0ed-4cd9-8116-90e148d26012 · outbound

This paper cites Excited to announce voyage embeddings!, Nov 2023.

Nomic Embed: Training a Reproducible Long Context Text Embedder Excited to announce voyage embeddings!, Nov 2023

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.313460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8cf889b9a4fa7a3df8c418cf3a984786304b90f8fc99093f105c6ee3623e2617

Observation 6b546737-7976-427a-aa16-5c24c0ce4aaf · outbound

This paper cites an unresolved cited work.

Nomic Embed: Training a Reproducible Long Context Text Embedder Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-21T14:56:19.315544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:94b75a084cedcc7889c6d08505c87b801348d17c4fdfffff4052160692a8ea96

Observation 3c155578-5fca-42aa-b02b-aa4c5853e17a · outbound

This paper cites Text embeddings by weakly-supervised contrastive pre-training.

Nomic Embed: Training a Reproducible Long Context Text Embedder Text embeddings by weakly-supervised contrastive pre-training

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.317777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7441b3b703c025e647ee39ce65372b6d593e72a09cdbaaf22205f69a32ab927d

Observation dea942ea-773c-4dee-9a14-136b068e2f69 · outbound

This paper cites Simlm: Pre-training with representation bottleneck for dense passage retrieval, 2023 a.

Nomic Embed: Training a Reproducible Long Context Text Embedder Simlm: Pre-training with representation bottleneck for dense passage retrieval, 2023 a

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.320193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5e7f9485bb7cb9e6cc8c6ef73de360a27d4c4f527448fa61ab94aa2d56308bce

Observation 25033bea-d0bf-4dc4-b411-8ba3076f2fe6 · outbound

This paper cites Improving text embeddings with large language models, 2023 b.

Nomic Embed: Training a Reproducible Long Context Text Embedder Improving text embeddings with large language models, 2023 b

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.322834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7ef8fbac12ccd5c0cf14b0f505df032a145eed7204d6c1840513e4c7ec3e2d8a

Observation cd8cf3a1-4aa1-4ce3-9eca-c30d139de9ef · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding.

Nomic Embed: Training a Reproducible Long Context Text Embedder C-pack: Packaged resources to advance general chinese embedding

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.325323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d2a93980f357b08cd5f838305aa9e912bd9e8acc5e0afda9729becdb2e75fa4a

Observation 1d15e5e9-c818-4baf-a695-3584cb660d23 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

Nomic Embed: Training a Reproducible Long Context Text Embedder Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.327835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ddaadfc8e5a28d0e609ef6b7bef9ea179a5802233fa25b381d03570850c24099

Observation fb8ae399-4ed2-46dd-a8d1-51828a19640f · outbound

This paper cites Character-level convolutional networks for text classification.

Nomic Embed: Training a Reproducible Long Context Text Embedder Character-level convolutional networks for text classification

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.330065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8e878ec7768e64cd9b87c4ec84ea1cf0f5e1f2e83ebd76a86e85337a85524817

Observation a06a5517-f65e-4f83-b264-b76a9beb5efd · outbound

This paper cites Aligning books and movies: Towards story-like visual explanations by watching movies and reading books.

Nomic Embed: Training a Reproducible Long Context Text Embedder Aligning books and movies: Towards story-like visual explanations by watching movies and reading books

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.332421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:35e7a58ff9892a8de38b994ff30d8b6df46fcafc56b7c2fca0e3954e7a13d858

Observation 8be7df5f-21e6-44be-bc14-7bc3b151c801 · outbound

This paper cites 2024 , eprint=.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2024 , eprint=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.334794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e6bcdf3a6b278c04a4b6417cc74b11e221c7b2acb9e5a513954cb5dda9b9551f

Observation 00e41d2c-839f-4154-bcc2-f379a617307d · outbound

This paper cites Liu , title =.

Nomic Embed: Training a Reproducible Long Context Text Embedder Liu , title =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.337355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:835e23b0ef2f0240f4174e6ac7c2fffeb25d76a1b7b06cd354f12f681d2c6766

Observation 44d75290-b2a1-4328-995b-000f15ddf72b · outbound

This paper cites 2018 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2018 , eprint =

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.339438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:74e057adaa700f0c729a87d66e5e3615726981e52033d598b093502fdf7af6e8

Observation d4a17e9b-b62d-487d-a6de-52016a0b5b79 · outbound

This paper cites 2022 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2022 , eprint =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.341796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ceefaa7e35f896fae599c0b4bc23141f8f7738db814dfdd4d1568c3a8df017d2

Observation bee53397-3f56-432c-bb6b-8584b3ab58db · outbound

This paper cites 2019 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2019 , eprint =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.343922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:fb8eef46f68677aa31bde886112c7356a21b6ee37d6e40cec85feaefd3a9ba96

Observation 74b8b246-0a11-476f-bc4d-93ab9a4a1111 · outbound

This paper cites Dynamically Scaled RoPE further increases performance of long context LLaMA with zero fine-tuning , author =.

Nomic Embed: Training a Reproducible Long Context Text Embedder Dynamically Scaled RoPE further increases performance of long context LLaMA with zero fine-tuning , author =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.346185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:292dcf44f092d8af36043f0d366bcb99d9c3a2ee39b74cf8d785b9e14aac5e1f

Observation 80c25d5c-df38-4c4f-9116-db23210731b2 · outbound

This paper cites 2021 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2021 , eprint =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.348157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b3ebe04a5c99cdef7fd769829df513a179d930f7195cdf75a804b7c394406db6

Observation 576f9ffb-5f4a-42a8-9602-32b2bd121704 · outbound

This paper cites 2022 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2022 , eprint =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.350676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ff131ea3562226b287fabb84b98e446483bbaed6c0335b5bd32cb058354a9985

Observation 6ede32f3-6d0d-4bf7-93de-c4107795d9c4 · outbound

This paper cites 2022 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2022 , eprint =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.352599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:fbca68f4b236c4285be2eb397179e78fa4ed68fea40697905e473181f860b548

Observation 5c087fc8-fc04-40ac-96c0-383cecc1f7f6 · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.355010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:279fe668f02319781061783f006ad82a5ee3f4782ff1fe23ece9c86cc66ccbbf

Observation 1e8fbea1-a8e5-4f52-a995-c5c173d95c7b · outbound

This paper cites 2024 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2024 , eprint =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.357100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ab4400bcd96845d26c06fc042c140843a4ebf1cfa87454605db6af94068cfc64

Observation d0f132ae-32ad-4410-a0de-fafce731da69 · outbound

This paper cites 2020 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2020 , eprint =

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.359366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7ec6b99f5029c7568877a309de0d7304c9216fdb00e362e66c6a8a6cfa3a0670

Observation cf89cad7-6e8d-46e4-b81a-e24ed4a8c89d · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.361779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a254977ec89c21169ed423ff0804ea022e46916d073b59059e4b58edbc73b85f

Observation 5337cfc9-373a-40dc-86d3-0bb51e463490 · outbound

This paper cites 2019 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2019 , eprint =

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.364134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:26ba10d27d0448cb03450faa0b337e121f5d39e6f246473108d5fbc4762915fc

Observation bf2a0a31-d14f-4bb4-9487-f93c5749e2fc · outbound

This paper cites 2019 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2019 , eprint =

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.366041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2dc3fc11d7df4df668b9c8c734f6f7b9fbe0c270cbc9ed50e5ea0f0359ba9376

Observation 4462f3f1-0218-44c4-85f7-e2cfb0814ceb · outbound

This paper cites Hall, Daniel Cer, and Yinfei Yang.

Nomic Embed: Training a Reproducible Long Context Text Embedder Hall, Daniel Cer, and Yinfei Yang

Reference 90

Resolution
metadata mismatch
doi, observed 2026-05-21T14:56:19.170214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:548b24206e60bf5d675eeddc21f94453b63f24155b5d3d5ee925751ac130cc13

Observation 7e55990d-b68a-4f57-a181-01668b4acc79 · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.367854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:34f13648c079acec203bc6adbf02b0785afa582f7779806e5dded91836a412c3

Observation 9d740b4b-4da6-4453-9055-8437410e4d03 · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.369662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:d80943c7583174d8135e525d084ef49bb115edcfb4ea90569c7d9240198d0999

Observation fd3c7dff-c690-475c-a270-27962a9d7534 · outbound

This paper cites 2020 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2020 , eprint =

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.371459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b14abcbd2ad2286f5d2f0173d45bab3e85ba706904a1db6ec1f2f6e925d317d6

Observation 9131a4b4-879d-4c26-b44f-bf8b5be44941 · outbound

This paper cites 2020 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2020 , eprint =

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.373634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c759a3e2a89e48f35366008c5b07237bc96b6b7d7ef4c979dc48e1f5fc6940a5

Observation bf2fba00-89ab-457d-8a57-5edd52d263ff · outbound

This paper cites 2020 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2020 , eprint =

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.375751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6174a7de19d54abce2aeceeda1c8dc6590cb2eb1a66c46e70355ab3a015c24bd

Observation 8eb8221b-c4cd-4faa-b8ac-c5808d371a04 · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.377713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f7e22dee7e894c6beeef67a3970c28468c7cfef714f2272d02866ded9086c80f

Observation b88f8d57-cb18-4915-8131-d22c0de3d4bc · outbound

This paper cites NAACL-HLT , year =.

Nomic Embed: Training a Reproducible Long Context Text Embedder NAACL-HLT , year =

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.379644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f152d3d5a76bcd67acbfa865dbe7415c8708feeeddfbb89dc3f44fbd7e884024

Observation 21fb59de-05ce-4e9f-8fac-6d0efbf7601c · outbound

This paper cites note =.

Nomic Embed: Training a Reproducible Long Context Text Embedder note =

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.381529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c6eda3915e536da2ad6547076d24812b8864923a17c0611730a66b602b0e50ed

Observation ea2328ed-4133-44bc-afb3-218f45f0a0c8 · outbound

This paper cites 2022 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2022 , eprint =

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.383346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ecbb90ae1f043bdd1701384844714751f0d2220e10ff2627dc1220b542160278

Observation 66cd2485-bfe4-4f19-bba2-9ccd15595d2a · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.385336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b952e0a92dc626faa95b57fbdc639abf2dec4184ba50fe5d412c99ed7f188c2a

Observation eb62158c-a9db-4e88-b3b7-0f2eee2df476 · outbound

This paper cites 2023 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2023 , eprint =

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.387098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b4621a91b2aebd9d7a4ea4901cfa7f346445cbc2c0b13591128c722576d2b4c2

Observation cf470dec-20dd-44cb-98d8-70153c7edb4a · outbound

This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.

Nomic Embed: Training a Reproducible Long Context Text Embedder and Salakhutdinov, Ruslan and Manning, Christopher D

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.389633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:db85f304600e8519b8eed603e1982ec936f28c699c8a7d1eb0ddd1b9e503967d

Observation 32ecde0f-2ff0-48f7-af82-5432adb611fd · outbound

This paper cites 2015 , eprint =.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2015 , eprint =

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.391644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2be048eecb3c028e3cf3fd1a89632efa0aa9137d62d0f44068e3586348ff7571

Observation 76ed3d08-9ae6-42c3-a08c-10e0e0678bcb · outbound

This paper cites 2020 , eprint=.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2020 , eprint=

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.393506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:09612a6bf10da6aebea2b00857e32e9cc9119b9c56c00a6b8e6ac208572811eb

Observation 9bf429c2-f5e3-48ef-9095-7c133e976c60 · outbound

This paper cites 2019 , eprint=.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2019 , eprint=

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.395415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9324333070a9444f3dfb1d4b75831134579b664bc9544b62c6d98b51d7e35e41

Observation 01026641-fc33-42da-8294-e3c213ba4c24 · outbound

This paper cites Proceedings of the 6th Workshop on Representation Learning for NLP , year=.

Nomic Embed: Training a Reproducible Long Context Text Embedder Proceedings of the 6th Workshop on Representation Learning for NLP , year=

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.397790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:1c6f545be1152f60dd67eec421446196792babd63830ec8988941339fd1231c0

Observation 1ace12d1-3011-4793-8548-df4713c1fa2b · outbound

This paper cites 2018 , eprint=.

Nomic Embed: Training a Reproducible Long Context Text Embedder 2018 , eprint=

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.399760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b8e10b1d21eb10ca7db345bbfe3da25d65181583b64d20481d7f3c4fef37799c

Observation c4a3de01-2107-4cd6-9a58-dfb2e9ae134e · outbound

This paper cites Introducing embed V3 , url=.

Nomic Embed: Training a Reproducible Long Context Text Embedder Introducing embed V3 , url=

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:56:19.401716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:18316fbc101bcc6ccc62144ffec414a8841cbc906dd3dece9c70230b087779bd

Pith citing papers

Observation 12a62bc0-047a-4d7b-9d96-4391f98c0a75 · inbound

Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions cites this paper.

Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T18:31:12.673271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:31:12.673271Z digest=sha256:d1cf63a970f00c22c38dba6ad6cb340ee74365d105dd6d9b45f748411bb9c1e5

Observation 699dae6a-546b-4900-92c2-21b5e7fccdb7 · inbound

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain cites this paper.

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T05:22:24.836499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:24.836499Z digest=sha256:6888c45a272d7632f53cbb81013ff209ffc94eab5272c3c40eab6a4b79c69f7f

Observation a062b6b9-e262-4a18-bd7f-3db68b3e3f72 · inbound

WithdrarXiv: A Large-Scale Dataset for Retraction Study cites this paper.

WithdrarXiv: A Large-Scale Dataset for Retraction Study Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T22:10:34.429116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:34.429116Z digest=sha256:ca0f89e14187cfc96fba541dded18a256a8ffb985698bca9ec2caeb65ad2be66

Observation 1142f7a7-2418-43cb-ad35-7ee4ceb081db · inbound

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise cites this paper.

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T23:04:04.220672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:04:04.220672Z digest=sha256:e678cf870bfb8c105b5f7e954badb4441d803ad0b6f2a8cdf29249fe666368c6

Observation d5ad92a2-1daf-4e79-b8a8-4ead79a29fb7 · inbound

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation cites this paper.

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T20:56:12.145318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:56:12.145318Z digest=sha256:802e5c8281378c685eecc81d21c83d3a93f2c06b4662d7cd2296372dc3b06c28

Observation 06c5006e-5904-4afe-94fe-a08d47edb007 · inbound

Investigating social alignment via mirroring in a system of interacting language models cites this paper.

Investigating social alignment via mirroring in a system of interacting language models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T20:44:35.294906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:44:35.294906Z digest=sha256:82c79aa1034ab3f44d3bf530a2df66b5c04203a856338bf3c4d9f0575a67135e

Observation 9c43028f-c266-4be3-a992-b14a7a61e1ea · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 126

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:59:01.826888Z digest=sha256:7865689d9eb8e12f862dc73b4d0e59095d5d78a22511427ec8e09847a6e9e36a

Observation 9a9c3cf0-7778-47a7-b3b4-133236a24d01 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 170

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:ea8a8103dcfb99363c2ba56ce4bf135f71260ecd17c68c4c3371c98974440d71

Observation fe90ec49-7455-4823-901f-8c33df98e0e3 · inbound

Experimenting with Multi-modal Information to Predict Success of Indian IPOs cites this paper.

Experimenting with Multi-modal Information to Predict Success of Indian IPOs Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 35

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no resolver link, observed 2026-08-11T20:23:12.775388Z

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source=arxiv_source observed=2026-08-11T20:23:12.775388Z digest=sha256:1457c1e978725fa541a2186458e8d1a49802a2fb1172940631a5312cfa6d6057

Observation 1a15b3fe-f19f-4e40-915b-f3f78f5da731 · inbound

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor cites this paper.

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 51

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no resolver link, observed 2026-08-10T15:54:42.664636Z

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source=arxiv_source observed=2026-08-10T15:54:42.664636Z digest=sha256:6ed0c82fe23ca5498212f5cb085dd3337f6d0f16b2bfdb863ec1ed0eab8f215c

Observation 7917cc13-f42e-4a6e-8dbc-96b287e21b68 · inbound

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models cites this paper.

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 50

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no resolver link, observed 2026-08-10T00:12:04.997118Z

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source=pdf_text observed=2026-08-10T00:12:04.997118Z digest=sha256:232649e2f66716459d7d6a3ff7df3acfd0ac74911119876ecf8adc9eb565adaa

Observation 25fa70d7-a7ba-49d8-8a75-69e75da61ddc · inbound

mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval cites this paper.

mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 38

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no resolver link, observed 2026-08-09T20:48:29.784749Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-09T20:48:29.784749Z digest=sha256:0071311b4bfd3d6b58e975dd2617ff5ff6fc81794659b235c08cc8c8529b83ad

Observation 56c5b6c3-a6c0-40c6-a8ab-5afd55b7b73b · inbound

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs cites this paper.

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 35

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no resolver link, observed 2026-08-09T00:40:42.558465Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:40:42.558465Z digest=sha256:66eaf0b985c18547f382c09a7d65e23ee310ca85688c63d1be5207d8258e4394

Observation bd1b9581-f8c3-412d-bdab-2cefaf90c9bd · inbound

Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization cites this paper.

Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 51

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no resolver link, observed 2026-08-08T13:51:16.604059Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T13:51:16.604059Z digest=sha256:21b4c8f2f689e1740c5d22d1906335900c9ae37bddbcb745a2ce61763a95252b

Observation b2fba75c-34fc-4247-8982-85c0cb330d0a · inbound

Training Sparse Mixture Of Experts Text Embedding Models cites this paper.

Training Sparse Mixture Of Experts Text Embedding Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

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no resolver link, observed 2026-08-08T11:20:23.667474Z

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source=pdf_text observed=2026-08-08T11:20:23.667474Z digest=sha256:93db45a8ade643733b27d10340fe9fc0a950fa6e7b9beddeab6afe26fd62f6d8

Observation b6a3657c-cd84-4a1f-af9f-e78f9762bc80 · inbound

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages cites this paper.

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 93

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no resolver link, observed 2026-08-07T21:10:57.457233Z

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source=pdf_text observed=2026-08-07T21:10:57.457233Z digest=sha256:e17c3b19cc47e8f859c2e7b62259fea3a6d4ad95a1459c9a2a569285571c3ee8

Observation fa23f9b3-2de1-44d9-a99d-25b5e20e9e25 · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 43

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metadata mismatch
local_arxiv, observed 2026-05-23T03:32:28.547594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:bc5697311af6920dabf52a1c110bc23ffde86dde5cbe80a95ee0941a78c45abf

Observation 777a1c9a-8667-471e-ac17-487a3c6f4e26 · inbound

DreamLLM-3D: Affective Dream Reliving using Large Language Model and 3D Generative AI cites this paper.

DreamLLM-3D: Affective Dream Reliving using Large Language Model and 3D Generative AI Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 25

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no resolver link, observed 2026-08-07T22:18:53.463113Z

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source=arxiv_source observed=2026-08-07T22:18:53.463113Z digest=sha256:f5ebaeff5b821e2c140893208a85a532d659907cc3071c2ca04760596c6fffd3

Observation 7d037f9c-1e45-4adb-9c2d-3ed3fe3db547 · inbound

Trust, but verify cites this paper.

Trust, but verify Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 20

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no resolver link, observed 2026-08-16T12:12:09.495463Z

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source=pdf_text observed=2026-08-16T12:12:09.495463Z digest=sha256:09bb077913e2075ddaafcf2404ed88601e9f73e08d36c90452d037f3a4f81919

Observation 74a5e340-d0cd-4c0e-932a-9ab7b76ef537 · inbound

MINT: Multi-Vector Search Index Tuning cites this paper.

MINT: Multi-Vector Search Index Tuning Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 53

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verified exact
local_arxiv, observed 2026-05-22T17:51:55.226794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T17:46:53.722294Z digest=sha256:41f74c454e8df5ca6b7a81ad6e72afea1ac22b360b2563fa3238be16656b3467

Observation 364c8fe6-7b07-40e2-8b45-c9d90123fbbc · inbound

Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging cites this paper.

Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 20

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no resolver link, observed 2026-08-16T05:07:01.208357Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:07:01.208357Z digest=sha256:beafcfaf003106537247cd65c860f7e62e0bfcc5d10b63a24d16494b306109eb

Observation 021afc3b-cc65-4b7f-9645-ae37893ef349 · inbound

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training cites this paper.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 23

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no resolver link, observed 2026-08-16T04:49:33.058764Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:49:33.058764Z digest=sha256:d68d73a972fb37365724dcd5e6e8fa80e58decb753d86a4d6a5da7a37cb39f0e

Observation 2c8391f5-b9e1-48bb-ae8b-9b9105663fae · inbound

Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 24

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no resolver link, observed 2026-08-15T23:08:10.142793Z

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source=pdf_text observed=2026-08-15T23:08:10.142793Z digest=sha256:029f00194ef459fb48b2d063f195de0a10f1dcdd477dbac64478330e3b7c3c30

Observation 3bf4db7e-b6ac-4d92-98c6-f78d36aceee6 · inbound

Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI cites this paper.

Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 26

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no resolver link, observed 2026-08-15T22:57:24.484303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:57:24.484303Z digest=sha256:bf8008d190c9838f65915b1c150d9d1b6f54be4d86a9719e39ba7dcc93caba07

Observation e8bbeb9a-4ebb-457d-a889-6b3de7588d6b · inbound

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems cites this paper.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 2024

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no resolver link, observed 2026-08-15T20:58:10.277293Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:58:10.277293Z digest=sha256:b89429ad9d9a0a9fe5739e9179d93ee8088aabac1a85f52e41014d23f125f2de

Observation c8053764-9ad6-473b-a621-d7c5e90fac1d · inbound

ELITE: Embedding-Less retrieval with Iterative Text Exploration cites this paper.

ELITE: Embedding-Less retrieval with Iterative Text Exploration Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 13

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no resolver link, observed 2026-08-15T20:49:47.216115Z

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source=pdf_text observed=2026-08-15T20:49:47.216115Z digest=sha256:ecff729c8a6a4a3fcc8a350a8caf7ea586e74d25486e2ee5383492790c2b9d1e

Observation 9a6514c0-98bc-4723-a6f5-8d050042e49e · inbound

Text embedding models can be great data engineers cites this paper.

Text embedding models can be great data engineers Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 34

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no resolver link, observed 2026-08-07T15:32:26.935041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:32:26.935041Z digest=sha256:069303ebbacd2718fe5e422a781338110e951c91e5364deee30ea322cd637791

Observation ae2e0c81-8095-4c5d-ad2c-c2bfa6667611 · inbound

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems cites this paper.

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 36

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no resolver link, observed 2026-08-07T14:36:12.495892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:12.495892Z digest=sha256:58d6269e995107e85fc62864041e7ef8ff73efd219a52f9ce31cab7f5e00c80d

Observation d542fbb3-4732-4cfb-b652-4d0e3564ad04 · inbound

Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation cites this paper.

Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 23

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no resolver link, observed 2026-08-07T13:21:16.818037Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:16.818037Z digest=sha256:66c833afd89970c01a505390c1899b2bc275336ef6a69b0b2405073ce6d50f1a

Observation 6d46216c-ebb0-4f07-93c5-735c10480da5 · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 33

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no resolver link, observed 2026-08-07T12:35:38.750679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.750679Z digest=sha256:9388ba1656b95b7e1fba6da7b166f0f60b3fcb976821c9426301c3d825b71523

Observation 100a8e2b-14e2-450b-a9df-7ad465347ef6 · inbound

Gaussian mixture models as a proxy for interacting language models cites this paper.

Gaussian mixture models as a proxy for interacting language models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 8

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T11:53:28.278150Z digest=sha256:65d74ae6475e57507e1196bf3785d01467cefaf4dfef619b41afcc2569cb477d

Observation 75440c7a-21d1-4fa8-9aac-5548dc5f4af4 · inbound

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings cites this paper.

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 54

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no resolver link, observed 2026-08-07T11:49:14.972297Z

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source=arxiv_source observed=2026-08-07T11:49:14.972297Z digest=sha256:93639efcb08b1316247611c53d76d8d589d7c6bf1f17d20909f8a1becfc8c62b

Observation 17c5a633-67ae-4098-a140-ce5822d89682 · inbound

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) cites this paper.

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 45

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no resolver link, observed 2026-08-07T11:25:46.029625Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:25:46.029625Z digest=sha256:528d9b396f5d75446b6404b4949412d21dae3b32ca1a57ed1800366afab06951

Observation e5d91d9b-994e-47f4-a227-643305344e28 · inbound

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language cites this paper.

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 15

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no resolver link, observed 2026-08-07T00:41:14.397251Z

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source=pdf_text observed=2026-08-07T00:41:14.397251Z digest=sha256:14a55160039ed14d73447cc40f661d8dc77fcb3671152c769b67972295848a9f

Observation 8deeb560-0dcc-4ac8-a768-3e30b051621c · inbound

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 30

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no resolver link, observed 2026-08-07T13:59:48.708781Z

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source=arxiv_source observed=2026-08-07T13:59:48.708781Z digest=sha256:8ff87dcc8b252865246ae3c9197a06fe43c7d001cf9513a0ed16c21282417806

Observation 48984a02-610f-44f6-a6c5-87059c8f454d · inbound

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models cites this paper.

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 20

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no resolver link, observed 2026-08-15T19:04:16.595386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:04:16.595386Z digest=sha256:64cf29034357dd60ba56082431db2e7b9af5e059add781c7a05afc9f4923e1b2

Observation 608edd58-e958-4472-9ee2-65f4004951c4 · inbound

Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models cites this paper.

Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

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no resolver link, observed 2026-08-06T23:28:03.180723Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:03.180723Z digest=sha256:a3989cc0919ebb5e6b45956514b5c882eab0c0113863acfbf824857a82699a7e

Observation c60aa4ef-5507-4a7c-98ac-56b29b456de4 · inbound

Small Encoders Can Rival Large Decoders in Detecting Groundedness cites this paper.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

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no resolver link, observed 2026-08-06T22:33:28.865781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.865781Z digest=sha256:a0b5b1e0c000541581c31f1ad57b90b316b9f8b3d4f62912e16d58593ca5bd14

Observation 8faff816-88b5-4194-8efd-126bc925c51a · inbound

SWE-Bench-CL: Continual Learning for Coding Agents cites this paper.

SWE-Bench-CL: Continual Learning for Coding Agents Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 21

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no resolver link, observed 2026-08-07T04:07:57.307865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.307865Z digest=sha256:bd91bae97d5e447ba061765a61bd639defcee5588e60916062e677502556ea0c

Observation 99bcf12a-e80c-4c68-9aea-a92edab2483c · inbound

InSight-R: A Framework for Risk-informed Human Failure Event Identification and Interface-Induced Risk Assessment Driven by AutoGraph cites this paper.

InSight-R: A Framework for Risk-informed Human Failure Event Identification and Interface-Induced Risk Assessment Driven by AutoGraph Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 18

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no resolver link, observed 2026-08-06T22:05:31.315365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:31.315365Z digest=sha256:1e82849ef59c6ed673b013314b9d0d9c6e2cbb387a0ac2033887f6684397fbf6

Observation 465a1058-44f2-4641-8530-78d9cbc7ae6c · inbound

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy cites this paper.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 18

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no resolver link, observed 2026-08-06T20:18:07.642297Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:18:07.642297Z digest=sha256:31b7a330150da41ed1419567498a6861ae41eecf127507fa89cd3efed1483a7e

Observation 0d050319-fedb-4d3e-9c4e-4cbe0845285f · inbound

Why Braking? Scenario Extraction and Reasoning Utilizing LLM cites this paper.

Why Braking? Scenario Extraction and Reasoning Utilizing LLM Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 21

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no resolver link, observed 2026-08-06T16:41:16.950593Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:16.950593Z digest=sha256:037be3f590f87aa6eaae983a5004b08df0618c3f8f4ec9b97bb223a347616989

Observation 744715f1-b240-48a3-a33f-0f0fcd3ab214 · inbound

Belief Alignment vs Opinion Leadership: Understanding Cross-linguistic Digital Activism in K-pop and BLM Communities cites this paper.

Belief Alignment vs Opinion Leadership: Understanding Cross-linguistic Digital Activism in K-pop and BLM Communities Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 2024

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no resolver link, observed 2026-08-06T15:25:45.901388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:45.901388Z digest=sha256:359712ddb2a576c823f4ed34c86cbaf2ec6d70e0ac014c8fb2675bcb2f336e4a

Observation bb9fa701-e959-4c5c-96ba-92cb31992c0a · inbound

Towards Domain Specification of Embedding Models in Medicine cites this paper.

Towards Domain Specification of Embedding Models in Medicine Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:25:56.602942Z digest=sha256:6596bd7a295f0fd59af4615a4b07a489da0face48cc4a7270cae999097450a4c

Observation 091a093c-5f54-419c-8e27-ab861bde3296 · inbound

Reading Between the Timelines: RAG for Answering Diachronic Questions cites this paper.

Reading Between the Timelines: RAG for Answering Diachronic Questions Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 2024

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no resolver link, observed 2026-08-06T15:41:54.485030Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:41:54.485030Z digest=sha256:bbf2b50a6ff90ab18b0d1b38c5c8c8a2deed3a0a5443c45be37034d3f8dca731

Observation 6f165230-ae71-4edc-baf2-52052bc52bbf · inbound

Automated Label Placement on Maps via Large Language Models cites this paper.

Automated Label Placement on Maps via Large Language Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 26

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no resolver link, observed 2026-08-06T12:07:15.065481Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:07:15.065481Z digest=sha256:b22a7e588dc8602d8c8ecffa4bc120f1bcc5c7aaa99bf6a27f7e99666fd46d21

Observation 1790172e-60bb-4871-a0e4-343cac014657 · inbound

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension cites this paper.

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 10

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T00:44:07.893905Z digest=sha256:3979882eae74b6ea16857a78f2f987e9869459d8a8bce480aefae6667f8f217c

Observation 5acd201f-28e5-4911-a091-1aa705023ad5 · inbound

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation cites this paper.

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 29

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no resolver link, observed 2026-08-06T04:23:43.412903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:23:43.412903Z digest=sha256:ee605b34eee5a44e93ad19ca65fd9aeb2ede609461c8789bdf4c945604f51b45

Observation 72eca498-2f57-4c78-b98b-a192e944490b · inbound

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning cites this paper.

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 29

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no resolver link, observed 2026-08-15T16:18:26.714494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:18:26.714494Z digest=sha256:aaed2158af3ece4053d0e3b3ca6d57fe1d9a801ce1acdd1854c4b1163b76698f

Observation af216801-2ed6-44d1-a808-c4268252a8f4 · inbound

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach cites this paper.

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 8

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no resolver link, observed 2026-08-04T20:03:51.814137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:03:51.814137Z digest=sha256:8d24044c4df0ac04e6c84e6517b664356851021af9b7e7b345870d253488837d

Observation 574590ae-72ab-4115-a644-7062bba0ebc7 · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 185

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no resolver link, observed 2026-08-15T15:56:21.853443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:56:21.853443Z digest=sha256:093d8b6674ae99a238c820e3161d208560aa77782e03268cf437ee5c1ef1ab60

Observation facfed51-06e3-48b3-9279-c98631cd4b05 · inbound

ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering cites this paper.

ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 33

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T21:51:40.716196Z digest=sha256:8cd8b2394a2c425210b910020444c01c81976f0e7966486e7fe4ca89e4e8443f

Observation 249ad6fb-12b0-4a48-b265-54e0b4a26bed · inbound

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL cites this paper.

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 25

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:a1e69d2a5e39eee978fe9300ff2175c7be440334cab05263ebf213c0604914bb

Observation 7182ae18-fae2-482e-8526-3f7850adf23c · inbound

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment cites this paper.

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 30

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:55b8258a09c94b69e9c35f2173d1f2aa9f5e94a9ea55840b4cf623f32ac5d363

Observation caf70f9b-bdbb-43d4-91dd-905d6f1379bf · inbound

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval cites this paper.

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 20

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:05:34.908337Z digest=sha256:943b213aa7b49f5b63ce5ee4850e690be845c0c810090ff9e31872fcf52b7e57

Observation 9963600b-c9d9-4075-813a-d21ac40daaf2 · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 66

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T09:47:21.966292Z digest=sha256:c64cf9fa001b3c9240cd3d84da65adb63052ad75d47482dfc84f6613ab8d6905

Observation 84d89478-ee01-4c18-91bf-8570ee613716 · inbound

Participatory provenance as representational auditing for AI-mediated public consultation cites this paper.

Participatory provenance as representational auditing for AI-mediated public consultation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T23:46:25.907511Z digest=sha256:0839dab0e84732ea5d82a939a7ec91c484a5db36af68fc07aced9881114215fe

Observation a7b23d5a-5ad9-41a8-ad62-e084b7488f1b · inbound

Participatory provenance as representational auditing for AI-mediated public consultation cites this paper.

Participatory provenance as representational auditing for AI-mediated public consultation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 1971

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unresolved
no resolver link, observed 2026-08-02T15:47:03.663217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:47:03.663217Z digest=sha256:6d571ad24acd32db3ed49bea150282209bbacd683983f03b98d0daaabf6527cc

Observation 8e11f16b-1cb5-485b-9afe-bf8fc0cb8627 · inbound

XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation cites this paper.

XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T03:26:18.733886Z digest=sha256:e6be52fdfc85218f2fd88176b5fa28b29806a676d8a2b42f204e01b2f7b1b29d

Observation f3d588e7-2928-44c3-b814-82220f7e6503 · inbound

Health System Scale Semantic Search Across Unstructured Clinical Notes cites this paper.

Health System Scale Semantic Search Across Unstructured Clinical Notes Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T15:15:13.378488Z digest=sha256:97ff63f5f7c8e10a5fd3d978bac7b87bd79b22fafbabb8ad9c88f5edcc9ec8d0

Observation 87a161dd-94a3-42b5-8cee-ba159ec583f3 · inbound

Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus cites this paper.

Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 52

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T19:29:17.346870Z digest=sha256:f420ef2a145e13d9afa13ed169fd4fc8af4141e3c0b4d35ad39e2facd8ff79e5

Observation a7f0ee18-f18c-4f2b-95fc-9fcb113b9b57 · inbound

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal cites this paper.

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 36

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T02:33:25.462269Z digest=sha256:08353593960fc10316023737e823579ed62f2f8abea4c5ef40deaacaf74733a6

Observation f4e8faad-8410-4730-b245-f32dc07237a3 · inbound

Black-box model classification under the discriminative factorization cites this paper.

Black-box model classification under the discriminative factorization Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 23

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T02:24:37.402352Z digest=sha256:ce35587bd8f069f272ea6b02081cce664ee96853bc7fbae369736fce616c1714

Observation 7abb5786-500f-4026-bfe0-25162da6183f · inbound

OpenIIR: An Open Simulation Platform for Information Retrieval Research cites this paper.

OpenIIR: An Open Simulation Platform for Information Retrieval Research Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 10

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:32:03.241694Z digest=sha256:34e0928f3f3e069fabb13e165cdddd43a4e275408d4a986de8337f2dd280598c

Observation e07d7420-ee07-442d-86c2-0add025edcde · inbound

OpenIIR: An Open Simulation Platform for Information Retrieval Research cites this paper.

OpenIIR: An Open Simulation Platform for Information Retrieval Research Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 10

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T05:54:50.265950Z digest=sha256:02357901cc2c8e9cf5b161dee717d126e5b6cf93dbffae778fa180dc3198d8db

Observation bd0ee1f5-b3c8-4827-93cf-a2b7e962656a · inbound

TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding cites this paper.

TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 19

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verified exact
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T04:49:03.891368Z digest=sha256:a937450dfdfc8eec7ac66858629d6c43224d86f45d32b4f98a97edc3fc7c5729

Observation eef3defa-3273-4ec1-b7ea-37e37d83e7d1 · inbound

Control Charts for Multi-agent Systems cites this paper.

Control Charts for Multi-agent Systems Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T01:04:30.602210Z digest=sha256:58cc02a1593861df8d80de5366b84d3e28f497f9aff27c91fda06a3c21e822be

Observation 468d79b3-ce64-4d32-89b1-28a65621d1a4 · inbound

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs cites this paper.

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 50

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T21:50:10.564922Z digest=sha256:e161369b78da41444496fddd54016ee29184119084c38789d9953e8325e5504f

Observation 1a3bb879-6412-4830-8864-847094a18e09 · inbound

Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings cites this paper.

Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 28

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metadata mismatch
arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T14:22:30.531895Z digest=sha256:bb8f4b64a221bd0ff0e1e9836364220afc4f6d127fe640b409e043cd338386fa

Observation d823c52e-ef81-4034-a0d5-1952a6b4bb59 · inbound

Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings cites this paper.

Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 2

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verified exact
local_arxiv, observed 2026-06-30T19:15:01.273953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T18:55:01.432602Z digest=sha256:68f644c1627a60a7ec19289e63799228a8871f3afcaa00d9f9bf599edd0ef4fa

Observation b5ec3356-390c-4927-bc8e-114f42fd3d68 · inbound

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval cites this paper.

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 20

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arxiv_id, observed 2026-05-21T14:56:19.527257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T05:02:21.191699Z digest=sha256:d35010395cef3caf4c1c52ae8c1561c4104827bf27eac2e7b440910d54ff9f45

Observation 6a418b73-3495-4d96-a9ed-e90e6eee750e · inbound

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering cites this paper.

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 10

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verified exact
local_arxiv, observed 2026-06-30T14:14:45.812991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T14:06:57.864207Z digest=sha256:f6b6ad10c4e593ce883ffa7daa70ff2743152b9148c73136271a7213d8c915ae

Observation 06fc51e2-8089-4760-91c0-f4199eea8fd7 · inbound

Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models cites this paper.

Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 27

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local_arxiv, observed 2026-06-29T17:53:47.699732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T17:43:47.849960Z digest=sha256:311126886c6c8dde2faf9f3d4830307c7ce030e211e7cd64841e007cadb3bd29

Observation 2c3597ac-aa5f-461c-85c6-b59b49bbbe02 · inbound

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization cites this paper.

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 12

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local_arxiv, observed 2026-07-01T22:46:20.321866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T14:58:33.167891Z digest=sha256:52187ec1e4269e01120ce189dd031906342f29441c35bea766dfee0658c8d768

Observation dec27869-193a-4c15-aead-28023d2eeb89 · inbound

WebKnoGraph: GNN-Powered Internal Linking cites this paper.

WebKnoGraph: GNN-Powered Internal Linking Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 28

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metadata mismatch
local_arxiv, observed 2026-07-02T15:47:06.272000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T23:30:43.663094Z digest=sha256:3ce72abb96695540a996e3fd6158131a98070d7e02c2645c909f576d911ba89d

Observation 2389c1c5-91ed-4fc1-a9b6-399dbafbbef3 · inbound

Constrained Dominant Sets for Multimodal Document Question Answering cites this paper.

Constrained Dominant Sets for Multimodal Document Question Answering Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 43

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verified exact
local_arxiv, observed 2026-07-02T20:17:21.734108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T20:45:12.783718Z digest=sha256:c4ec8a414f8d9f34ffeb1cfd38a32c9d7c4727df2b58c1274329c2f6b1ebb0aa

Observation 90bdfa64-1aca-44ea-b3e5-2e22ed24c2fc · inbound

PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning cites this paper.

PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:07:23.561012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T19:58:16.955786Z digest=sha256:1f4cefd5b4c00576c1fff89383c5b5f90e5955a5ac2f9f71bfdcf428bff65669

Observation 9d2e1a17-5beb-412a-b14e-be8dfc63038c · inbound

HistoRAG: Embedding Historical Methodology in Retrieval-Augmented Generation Through Critical Technical Practice cites this paper.

HistoRAG: Embedding Historical Methodology in Retrieval-Augmented Generation Through Critical Technical Practice Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T00:30:16.188992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T00:26:05.175925Z digest=sha256:37b11441547b78b5bad214d23e8ede9d57c636e7c2d1dd1e20d37138087ba1bd

Observation a914f26f-17f9-45bb-9b37-7d6f601c9c04 · inbound

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents cites this paper.

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T05:39:40.192808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T15:47:29.381248Z digest=sha256:873834ff0342ac8894df92b2b2a5df3357358ac5bd53cf5d2f668976800db9e4

Observation 6ae5e6e2-ad0a-4848-8081-e0e417f6d4ec · inbound

A Multi-Agent Audit Framework for High-Stakes Reasoning: Evaluation and Interpretability in Clinical Mental Health Screening cites this paper.

A Multi-Agent Audit Framework for High-Stakes Reasoning: Evaluation and Interpretability in Clinical Mental Health Screening Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:49:38.001854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T14:10:16.632153Z digest=sha256:d2ad595387775d5c0ead7bbee8fb693f5dbc930e6fef9f2162a540c0a22cdf6a

Observation d071a522-3f8c-4550-a0eb-7a73f3c85b58 · inbound

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions cites this paper.

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 110

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T11:59:51.214152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T07:22:34.547816Z digest=sha256:1a5522b65e07fc5bb3b05dd85d2d0b31ef2553397c3d7f90e89b89d8c9357dc9

Observation 781156f7-d4d4-4fe1-8021-e34e9447f1e0 · inbound

Improving Long-Context Retrieval with Multi-Prefix Embedding cites this paper.

Improving Long-Context Retrieval with Multi-Prefix Embedding Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T12:39:49.196993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T06:28:03.449379Z digest=sha256:f5dd3e841854fd36ff06878cfa608aca2b59d9f4ed905f76a667003a3f130b89

Observation 8efa74e2-49ac-4343-a12c-acbb9a5315e1 · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T19:30:07.788661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-25T21:15:12.242955Z digest=sha256:85ac07b344e29571ea331dff39a99ac6a2b409f7b4d526d31859c1bed32d2c4f

Observation f1d01f86-f3fe-405e-987b-89a83cbd8fde · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:23:51.230462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T05:07:28.537679Z digest=sha256:1de5d6c1999e208b7ce0fedc1597096a9621369c57f05c99141fd348090a3e1e

Observation b80f39cf-6c4d-4762-a20d-9aad499e080d · inbound

The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search cites this paper.

The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-30T10:44:36.918413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T10:36:35.781906Z digest=sha256:b800518ce62cabb829f12441f6e8306983ef9a67c30b9f939f4dbefdc52ab64d

Observation adf5c2eb-b2b6-4ba4-a4ff-af1b7b41b409 · inbound

Low-cost concept-based localized explanations: How far can we get with training-free approaches? cites this paper.

Low-cost concept-based localized explanations: How far can we get with training-free approaches? Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-30T09:24:32.642236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:15:55.371784Z digest=sha256:a0eeb1113232c9690a38c8978e080c546a503d5e8aa26d4843ca16446ed2f2df

Observation 6205c17c-4443-4a3e-b29d-9a698234d8ea · inbound

ESOFinder: an LLM-powered tool to help users navigate ESO documentation cites this paper.

ESOFinder: an LLM-powered tool to help users navigate ESO documentation Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T04:14:18.734759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T04:08:19.993584Z digest=sha256:a4ab4e0725068aab033209c70d88171bdc0fd72f22169e36483e3f6ba465d79a

Observation c267ec25-95f7-444e-9d2a-9b7912ed6ec3 · inbound

Separating Representation from Reconstruction Enables Scalable Text Encoders cites this paper.

Separating Representation from Reconstruction Enables Scalable Text Encoders Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T22:20:52.422988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:20:52.422988Z digest=sha256:913ca19fdfe370c1d734f1fcb2410531bd382e90972da8de3b84431ad565e3a6

Observation 260e40b1-0fa8-40f2-8c85-a14c77ec1f8f · inbound

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents cites this paper.

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T22:43:58.006066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:43:58.006066Z digest=sha256:34611371f34bcaccfec5aec9678cad2643a1d6a97c183bdea2980a409f6c247d

Observation 9ba42c45-3816-4a4b-ad16-16269e684956 · inbound

Geometric Configurations of Perturbed Jailbreak Prompts cites this paper.

Geometric Configurations of Perturbed Jailbreak Prompts Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T11:00:31.398212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:00:31.398212Z digest=sha256:5615961fec7c95704f1632e99c1425d8082631a2dbf6848671e4002f98c99ea7

Observation 0ddd7bba-4c6b-47f2-8a62-e276303a5817 · inbound

Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework cites this paper.

Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-30T20:41:37.169734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:41:37.169734Z digest=sha256:75fcde5c28d8087b3ab036f25120942f739446c45acde1631be611f4ff5699bc

Observation f97bc215-7d5c-46ac-b8ec-b120ab7d059a · inbound

Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language cites this paper.

Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T14:50:56.464062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:50:56.464062Z digest=sha256:49c91ae37df26efac66ff837c6ee1d008511f83ae2613624324dcb42f554ca89