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Paper Citation Record · LEDGER

Nomic Embed: Training a Reproducible Long Context Text Embedder

As of 11 August 2026, this Paper Citation Record lists 100 of 142 outbound references and 73 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 173 of 173 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 73 of 73 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:54:42.664636Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f6158e580a1beb0cab5e760212f5fd0ff8b59c38c13cc6cc1df534517ad9349d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8bd58f575758415caefe087ad2220fe9a4ae730086aa3901c74495a4e3436c3e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2f6e5ca60a361b5d69a1fc0e5aecee1a206684fc647650c10e50109ee2b53da5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9aaca13ba608a60e3bbd8cb066be8c45e8c83716778c7ffc6ad20e08c0a57875

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:84751b4435b5e561bdecd27043e428bcb7ef05e67b011901c5ba5456db378903

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:620024cba3814eb78f34768b53960c640c4ede2fccba3595e5dfd59a55b47d6d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6dd49e715e8da847a12c0bd46d41150b1399cca3eb572376c8da3d9fd0adb336

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:863f232ec1ce40dbef2db707fc3577646a245703f205facf5837e9a16ca7da6d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4a2678e7817de8be3b3091833794901589f5005d4cb63baad4eed1d7cb2daee3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b8d971345afe1c01936926ece59890789a2796913cec4c36e4a836dce36e47f6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f215935572a938b72ed7d4d480af07f7a0e2f41bc93315f4a2e60a5175900dd8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f8c0f6360a7e9bcd7af40da5196e3a2520990360bd34fb4cb2c43311d381984e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8b2f00c55c4d294fba27e294eb8ece84b7611d57934a3326a52a6cc02b2b55c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f0d166c106d80083c675bb685f34d40fbc4d4a7a7671d0ec5992cb6a86db2432

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:bd9798294432de67ae0389d1649587ae76036fe69a17c83a3d3701ef04992d91

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9b6a8d2d9b8ccb984dc10329d1f4fb1df92b692771c5368140e3aad3cd8eb616

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2a3a4e1f30bbe9c6193f7e718d8101276b57d443862e7dff875fae8c7918feca

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a7fa593f8e935e7a6029538999ab2c05814214f94fef0dc73e86449f401e657d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:08a593e3f5c33a4b23ec6e63b4cf22c97bdd2107e5d043f4b9a587739b963eb2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:57db534bcf7707d291797478b29936d800c743b84aaead45722d0aca493f2735

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:16c8a94f5ae13b2ce4353ebaf81493d91fab5381cdc1da424b167ee5db1b33d2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:45b657a81fe0dbd35b27b049ca6a3dc92a5c7e62fa2b07750a7bea996ff89932

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ad81eed194d97e5f6012ba16b5ac973561f98eac902f8f0ff89354b6ba32515c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e458f4fc461cc3d905967ff977c4bb02e461575720065c1bf4056b4197b38024

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6f0c04d3109ae1e5f504ed3b89352c8f7bafe0d419bbf9d55e0dc5a106e73048

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:07ad4cd46e5e4092cd7c528c8c05c1db65a3f7177641e69003df37ae884fb5dc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f0b9d0ef5812bbabf824d75a77085eee7d7dedaf7b8995b1b4be608937a4550c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9495062dad91d73038a61c850a4e5ce91692a664f929aee6f5dd3a9d776f50eb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:afeb9c5215636ed698d5815fbc276a14b9fad5f7fc1fb1cb603d2a86e531991f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ff4184bc85ed08f577ce03ce13ca3cf8e92bd273b8226fbccc5d461782d1a126

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ca8e0065f0383e6e9c39ed7cf627cf50e0fb9ea266579d0d8949143bf55e9f4f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:62750b27afe98c57f0cc623c857060e0343a4f07179ff595ab6f2e3f24b57665

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:99acddbbf4118d4343e0f78bc5709629b88b42e6870557e46dd5acc6dad3f049

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9f7f6c1113de7eb4e9d80d8a7fecc209a742072c8dc66df2183a7dad0243e91f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9387eeffd423f4dd678ccfed55b747e28c191c400c3f4e39f43fdafcb89bc466

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ed11cf423fbe390090b617c901a284f034211ae2c406b18e5aa0fc96884c7cda

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:0f7bfd02cb756ef28453fb3eacfce05d649a11fd72757d35c47d51bdb18aea49

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:813e6df3378f0417d8ed6d3b4b9b1bcb66c08e891f2990ad22c97b52637b1cc4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6c387caf93dfcc41b75ae4e5d29ca01b3f8c610a513d0adf373719eb1432cfee

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8c3fa24142bbf156065381978eabe3460e196fd729358fca8c925218b7228e5e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:550a99afd92cc7b60f2a9cb9ace8e277717bde4335fb7da85d54d203ce254809

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:bd9b0d056f06084ecdac870f76f5843d696e486234ee6bed6a5b128c1ff92b3f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:755daca22f5bb3c4816f641cbbc4996222d83790e678ef9c292cb5f78ce468aa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:2ad684bb33c5a83d51a04b0d0bc18625e5d93ad3b2fac5433ded464565cc5953

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5b68a436c0e66e2e7c32e46dfeb09376490220f86b5185f391620b7a9d73577b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f4589f9fd5a6a0120489ab38a7af23ddf212e7dad278870a6587b4da29a60a48

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9fc844038cf4a038ddb7d7eefd30c66ac50b2f9c2f46a48a53f8008215bb0e0e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:292c1c337ff15da7bc043fad38e1cda253789aa867db5040da75fc606de6d7cd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4c94eb89bcd556af45e17269ad9af141013daacd96a93a961dbf8a3c87bc8c5e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ed25958115964d623e9dceaca73ac8b3f315fbbabd61d34059646f69135da449

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4c69d0ccb7b75d67b16a12f2a2995bf0c3aef59cb955c860c3bd930dcf9e6f3c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:1465eca2a1c4446df53f4b948ab8a711d252ae56ea55abcac74882df2fce20fb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6c8994f05d0c3cb07dcbfbf8362b4a3b01b2d61588a651b844fd694b2f6b982a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6284e705ccd4c49a097ca8350bd4476ff1434cd68f5225be60a24eda4f33bccf

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:4d5b7291b757f3079108c33f75d0cdf5cb5f2bfe087ece0160cd91cbd69fa8aa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:07aa923fdf41d24e157ae7c7d0d198a005ab4d2a18f47bf2418acccc05157ed4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:37a7330c3e654e488816ee4fa377dca609cfb0f24d24d7c54220fa4afd634a2c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:8f90d2c1e7ffd4976669326a38116ed656cd5f3235b665e5f37338046f3d5e58

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ac1d0c1b6c07dbf056d8610857781c2f5a1082e49e7632a11a6c851f94ef752c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:edc684f6e46e927df18884ec612f4bd45980ba68859448199ed8e70d24957dc7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6c9049ee82d2e586d85ed636b98e48cfe745d930db8eaa7784aefbf671251192

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f61305a716213f228e75e60cbdf6005bee126f0bd4f189eea79fa7d821f8308e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:44d2d462a0d5b261a527689bfe4aaefa505621839f446d272c508cfb87fcf3b4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7a88c12b7f8d940c05516bf124f121ae867dca29a9bd0023a0432e7ad23e82d0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:1a327f1ecb313c074666ed06b7bbeac70fcb3a6188c4e6e311a18fb8e3b56dc5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:949b048a97f8e2c4924e2cd25354e5bf4691619f1283a635efde5658512a3d73

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f38fc1401ca83683209b04233b526904a10ea8fedbcf8c6babe0cdc5eb08484d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:ce73f79086e0babe8e5b5223bfc99c05caa27d932399a6cb70357c087fc50df4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:04f3996daf70451563da129a605a9dfb8c602afcc4d657ba655d8ae5ea657c3a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c8f1d46acbf9df1e42f796c4971bb0b6f09cdf50f70f04cc91dfbb10733bc6c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e6be72918ea749c3cad5f2c244409609c99b7acc31db5b419d75c9bb2a52e8ff

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:f732a89222cbc0d3cfa75870d82071c85817103b9a8ac89270a83032b0d85680

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:dd97609bf9170eca395a219c92cbf39a33ef5487879c1bcf8fdad8a6f04a6d32

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:426b6cc2ad6d8c35606c4522448c7ba2cb1ca24389bfe896b324b4d2107222c8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:9ed8ea5d3826cdc38f14add806c7544506df0248f620356400d0c0bfc10a064c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c998f0834fb8c6ae59efb0cb6937073b27c61ab8e1eca1c5598383a043a167f4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:64da181831971d805d4d130c6e2b444bb8bd7714ce46f80b2c8c1ff896a7cb0f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:dc60a237a54033898e94b28ac1c8256153473d56500a02a00fe41e14517a88d3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:841d0aec1b9c44e474dcd7a07e5cb4049c9943c36233440655d787f7748205db

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:559913cff4c67b5c2f32f34c0873797c4d15839617f311e90350ecb14f05ce3d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6d4b1e6911da10b0e6a499b73d9a9781d2d873ce4eaab295303efb46068a0ef1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:3dccb1dce3db270886ba1b1740d31c53e7757e26f8fb113ae4d028b65469c2b9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6b0b8587f4a4235d100466703fdb8963b78953d25188095c2289cba73822f389

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:50afb222eb1adefff26616ff5afbf4edda283a837fd4d7198263bde729444613

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:c127a3ae1134fe1390f4bd271c2e4e71d6afbe6b2d1f5a69cbeb3e04bd246ed7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:67352aea1a46c1a50c3833208bdd0cd78b0a9b3429b97e1acb66a93e3c858645

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:7d81e5dce4b2c05ae4184e0fd632a5bd63ef89ee040e1fae4723769aa9e9e47d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:e6b5cc836a65d3ad5fa6d1a22a585e7ff047c1100997f8c07bdfedbef57dade1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:1e36259589ca7c8d28cf90bf5409b6f8ceccef8a1183f538dcd7d485e83f0235

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:6c47dc603f42f504dab528afba7e25101bec1dee2993ac359b6332d0d80bc1b7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:a7ea7654d8b2eec63957b05c5f9a7e8bfe393acd858fece174b31207257884f6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:b0271202015672b3556ec89e63c47d7da3ee38518035dccba27cbc9978464acb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5577dfd19ba4a8d9c2d193238bee11844d0684d5eda9bf91372b303039da427a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:809afb2a2f595133f0316a9e9c700b468e97ef97346d8df9b083be75e6526812

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:0e64793ffef7fb0fa536861a90aee13b429aa3e1180e71dade8fdaccb24b6116

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:5354e6cd5107223460dbd212de335caa037c9071d07e6ef02b85a1278d9700ff

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:345c1e8767f3a67dd4a2e2ac8ec70acfc7455f87de0b68c2cfe58a517c349ca4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:0fc99192b1c96ebc02e98d6777c23acce4a6be8cbd0708201ee6168b6ada063b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:3f82a7fac9ac0325170c29ed0fc9a154c1868b7242ac17854badec9fb7bf607a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T14:56:19.122278Z digest=sha256:fe2fd0c94515ce3819c3c7bf5fb68d258e4413f5c5ca8b70212a30ff141090c4

Pith citing papers

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:fbc5e728f1989bb9cfd9e0a651f106b32a3db85a66fad3569ed71cb3b4839e20

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:54:42.664636Z digest=sha256:b65bd67c0032d63d0a187b65214a02e862c6929259f5fd23ea3049d9f44928a6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:12:04.997118Z digest=sha256:13f8c3d23b23d0f7d1c880032fef08ebd0dcc631785b87e10bb243f1431c698f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:48:29.784749Z digest=sha256:d70674f6fd73619d8b07a0ccbae5a1597973612cf36b659b97da3b811ea9f32e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:40:42.558465Z digest=sha256:9fa3bf3811fe3cd64aee12e3567963a755f369c02520e8616a68176e87b88f50

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

Resolution
unresolved
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source=pdf_text observed=2026-08-08T13:51:16.604059Z digest=sha256:7f1f1744ec893912f57a333ae2cf595ef2bad8e56f778cab77bb6641bb700dfc

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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source=pdf_text observed=2026-08-08T11:20:23.667474Z digest=sha256:8e4b37bcef77eba3172615a7909d68d8dc02496914393cb34adf79f0337dd752

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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source=pdf_text observed=2026-08-07T21:10:57.457233Z digest=sha256:a9c20245078ef0940ef5afe03bbbfd80e141fd6c9e178107da2f8f475a763da4

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:f84a952f732922d62cfee17b72fd3d64232c08400397bbacc0613ba5dd81887a

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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source=arxiv_source observed=2026-08-07T22:18:53.463113Z digest=sha256:98404125b80d9f4925af5f8aff0722e327702cf66e11669b1d3ef151ffaecad1

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T17:46:53.722294Z digest=sha256:e93788c2544a19feffc9c874332f2120277ebaa7c21f310db2e0c390d02e85ec

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

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source=pdf_text observed=2026-08-07T15:32:26.935041Z digest=sha256:8eea85f263de3c0ddaf31b2e34240c0f80d0edf1821b1a1163354f2199d2f05d

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

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source=arxiv_source observed=2026-08-07T14:36:12.495892Z digest=sha256:f40385d0f25e0a178b685011363a292c4bc99eb81f874b51c66f6adccfa1743b

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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source=pdf_text observed=2026-08-07T13:21:16.818037Z digest=sha256:3f4160edf6f57ab661e40cc43a12f401173f4791216a53c40b6ff0f73851b400

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

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source=arxiv_source observed=2026-08-07T12:35:38.750679Z digest=sha256:5f33adfe52924c65c2047476907db21111712a92dddc3d1bb559cace2b014b9e

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:53:28.278150Z digest=sha256:c1a856866d896d7a86ffbeccd9e4c2f7e1764b1fd735e44ad043685ddcc22e06

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=sha256:31d6c7dfb6faa2c4228acc86da917acba13bf2b48382038ee2ae106bcb4a5215

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

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source=pdf_text observed=2026-08-07T11:25:46.029625Z digest=sha256:73f6a66e83b5c6fee8009d58ab2623b209e7d39177547a09e1ed1402efc38cc2

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:b155baa27e218fa7c79b5f67e97a3d22b13ff3f8b6814b3268da9467de3afa1c

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:fceda91746e144973ce6e9d1f41c34bcc6cd7636ee6112b4d807b97d3c9bac8a

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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source=pdf_text observed=2026-08-06T23:28:03.180723Z digest=sha256:2e14315bf922636f2ffdaf0c8ee7e9806f040a3b23b973ff5319093dfb39ee4c

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

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source=arxiv_source observed=2026-08-06T22:33:28.865781Z digest=sha256:d86a24aed66b87ea0f5b1f90993f1ffa247ae3b5d32cd4b9b0c6a4c435d4b224

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

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source=arxiv_source observed=2026-08-07T04:07:57.307865Z digest=sha256:0e2e5e297b2b45f38d054049c6fe077671bfa7a8454d841c54e219ff62ec39f7

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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source=pdf_text observed=2026-08-06T22:05:31.315365Z digest=sha256:1ec4e773e262687c070fdfa292526deb25f17cd0c1462d6c965c577719f3d734

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

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source=pdf_text observed=2026-08-06T20:18:07.642297Z digest=sha256:56c0a0682f0e37c05127acb05e0affc3a4d179e218f10f852ae81050f768345d

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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source=pdf_text observed=2026-08-06T16:41:16.950593Z digest=sha256:cfdb261ef9d78829f6d25427fe391580683dfba8de727c2f1cca2d54a3b1a577

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

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source=pdf_text observed=2026-08-06T15:25:45.901388Z digest=sha256:8dcbfa545294f7501ebed12f57b1d775e5ac78e471ee456c51679e237c38ae20

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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no resolver link, observed 2026-08-06T14:25:56.602942Z

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source=pdf_text observed=2026-08-06T14:25:56.602942Z digest=sha256:673692777fe80c01c33c453cd2da7bd006acd8de1d8af786a9757547aad6cba0

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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source=pdf_text observed=2026-08-06T15:41:54.485030Z digest=sha256:d5eb8f29b6852f55dd38a1f7f599b1c2bb601bb19bfa41ac2ac2155d5be24040

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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source=pdf_text observed=2026-08-06T12:07:15.065481Z digest=sha256:4d40cc79222cada3d0568cc27973a6d6ace67515060931a6087fb09de0da8b68

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T00:44:07.893905Z digest=sha256:8059b2b071d8d3ecba9a68d1b880a948e96d3f3e64f7190b76c5708465937743

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

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source=pdf_text observed=2026-08-06T04:23:43.412903Z digest=sha256:8b3cb9ba83f08c9aa494d68f09b5f13eb78be914278b693a68ce382bc44ddadb

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:ad147866fa0eb2e78e119b57bd1dbf0bdf41a8cadfd81c05335d6b666707deb0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:51:40.716196Z digest=sha256:31878458f3cb86acc6def74d1c54936a88327df9745261d01beafcc1133f0f80

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:691c5f316d0173e60db6a66872a4a29b4ecbd17f92dcfedad048473f9f8882e4

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:32677a6a7930d39a651bdec0740cf461bf03faa9fec504526ab4ae7b3b15fd44

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:05:34.908337Z digest=sha256:9ecc06096178e333a09415a3cba3ac041aaf39283d4451d000250b8b24c728f6

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T09:47:21.966292Z digest=sha256:2956a5df55f7403ff2134795695ba5bcd20abe124b7fa4c5edc9b6522ec29741

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T23:46:25.907511Z digest=sha256:99b3d282184bba2875a07b325500a983cfee0d5c5afa52ec3e9547faa92e79a5

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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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:c1aee114a34adf23805812334940d1530421d5a7df5429ebb7d41bb8ffaa8145

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T03:26:18.733886Z digest=sha256:482bd1ec4f7360a59ac0cefa51102b0db3facacb90f20d231512be30da3253f9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T15:15:13.378488Z digest=sha256:def8d62c2247aafb67af9237038b403e6cb7d5e7b0111b2683b92ebebf552779

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T19:29:17.346870Z digest=sha256:6ac22d1e3b9f27b908d64bdd1067fcc1bc6729345d3d80ffa94543a4a352df15

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:33:25.462269Z digest=sha256:3a5cf1798d98a9ff50495c23d41205b5151e3cda821f475314469390b099ef2a

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:24:37.402352Z digest=sha256:61362bac6aeb4a7e21fe9b97ed85607eeffac64b60b8c95bfdcc898432575769

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:32:03.241694Z digest=sha256:0f68558621ee663240e22b4d7b33f09b8132a7e95cd22235e5348277bb1a8e54

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T05:54:50.265950Z digest=sha256:b0df25445c1c623dce2f37a7712083580352869d975f63f2105e6da5cf421fc1

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:49:03.891368Z digest=sha256:8a48eb1dbdd966f8c135be97df2208d64e465a589fd34502b85fbd980adbdf0a

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T01:04:30.602210Z digest=sha256:bfce30271d4ec38b4a18953feab176f75f6cb36163e5d563599ecbbd931fc42d

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:50:10.564922Z digest=sha256:fe00b0fde799e10a7159b9d34003fb7c6073bbd9e1a59f027fab3342c1cea3d8

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T14:22:30.531895Z digest=sha256:9e858b5fbaffcc83fdd53f222b80b208ea1826baff61257bec05b81c14f58c06

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T18:55:01.432602Z digest=sha256:b2530aac07d1cb9584ee1f0f75a13d3a6c28c34ba4ee3e757bbddc05413b240d

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T05:02:21.191699Z digest=sha256:2f601f3acdf7005582a9fbad341d252d6bcba6e722eeab1f406f0ede32fc85df

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T14:06:57.864207Z digest=sha256:4d1b92b48c590e16e5b1f481dd017ab26965ada0bcb492445f1e0c7ef553582e

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T17:43:47.849960Z digest=sha256:a504e19633bf3b2a5bb84b5fa8c7134b79227340f81ae7a186075febcffb6e2c

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

Resolution
metadata mismatch
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T14:58:33.167891Z digest=sha256:6c37c208909c9c88f047c19b4cb1a86202e5fcdfc31e0ecbc425f12b17315b0e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T23:30:43.663094Z digest=sha256:1e641bbbacf9e2e9d928f23aa58c9a42ce16dbfc0525a80de1df28a1cc2ce405

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T20:45:12.783718Z digest=sha256:f670aa76147b44043e98e7634e9e01f40a3eaf12623578e82060af6f22964dad

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T19:58:16.955786Z digest=sha256:63602504a55eaf8a88e428aa58b9fd225fe0504bc99b0f9871b1ad675ad2c1aa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T00:26:05.175925Z digest=sha256:3f430d37be1a7501a3e35c27c068a96351f87b0537194b7d222e94767a91e6d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T15:47:29.381248Z digest=sha256:3ac959fa5425af3af3c93e72e9bb084abdc7f46f411f705dcdd2375772338b85

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:10:16.632153Z digest=sha256:b5b40c3641ee2de3aa871a14dee94678412a9372b0435d6cb394a0196b030988

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T07:22:34.547816Z digest=sha256:08706bd10dfeb9552fda134da11db0d6ea39b3f1ab87206bb510498a7c8988cd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T06:28:03.449379Z digest=sha256:12a17bd2645f637f78d0341a70bcd882ffb38cce7a2e5a770a051e6072669e2b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T21:15:12.242955Z digest=sha256:47295b4ebca83c046bb2252db97d1e10a61fbfce69a3190bc40782772a85aa52

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:07:28.537679Z digest=sha256:02ab4efdca2bc513056361a7b13fc22d083eeab378401d091ae6c8cf2d923db1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:36:35.781906Z digest=sha256:730dfa256560602478dbca65e7189148baa2337643c79861bf8c6d92d0056cae

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T09:15:55.371784Z digest=sha256:04e9515dd1450b68ca27bdf9284d53fcc5563c9bf058db7802f27699ecf61e22

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T04:08:19.993584Z digest=sha256:fbd50ffad933efc29120315be6e4790684a4ee53b74fd76c8d03e6b385ea9be2

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=sha256:13590fec4edef7ed7b6944f904ea50b7267ccbb195465ac42a9237b2e55c6a1c

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=sha256:3c4fafcf3857d4f48b8ad2901a0ac6b5a61ef07b0ef863257ff2435a6ed639f3

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=sha256:6e9b1e1d59efe56abf98caec995640a48637693b17cf0b0d72a4b22482a1ce96

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:cd28eeb7bde9b642ec65838c962e90a887e16b2b8da75e74f8fd2943ae33fd60