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Paper Citation Record · LEDGER

EmbeddingGemma: Powerful and Lightweight Text Representations

As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 76 inbound Pith citation observations for arXiv:2509.20354.

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

pith.paper-citation-record.v1
2509.20354 v3

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T12:07:20.946370Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 76 of 76 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:50:45.160288Z

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

27 of 27 outbound references displayed

  • verified exact21
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7fd1d6ba-0c3d-4bce-a454-d4a25d2cc77c · outbound

This paper cites an unresolved cited work.

EmbeddingGemma: Powerful and Lightweight Text Representations Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-05-15T12:07:21.094294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 59439b91-3285-451b-bd24-ff9ea642af1b · outbound

This paper cites Small Language Models are the Future of Agentic AI.

EmbeddingGemma: Powerful and Lightweight Text Representations Small Language Models are the Future of Agentic AI

Reference 2

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verified exact
arxiv_id, observed 2026-05-16T11:55:51.260368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 07d77da2-bc7f-4bbb-bebb-40536718098c · outbound

This paper cites NV-Retriever: Improving text embedding models with effective hard-negative mining.

EmbeddingGemma: Powerful and Lightweight Text Representations NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 3

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verified exact
arxiv_id, observed 2026-05-15T12:07:20.981272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 70561493-4644-4306-86b6-2b4682b50744 · outbound

This paper cites arXiv preprint arXiv:2502.13595 , year=.

EmbeddingGemma: Powerful and Lightweight Text Representations arXiv preprint arXiv:2502.13595 , year=

Reference 4

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verified exact
arxiv_id, observed 2026-05-15T12:07:20.970459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1a923f20-18d6-4f84-a6a4-f0765b569076 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

EmbeddingGemma: Powerful and Lightweight Text Representations SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 5

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verified exact
local_arxiv, observed 2026-05-15T12:07:20.986215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cd71bb8d-f9dc-4eeb-a5bf-137f38b934ae · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

EmbeddingGemma: Powerful and Lightweight Text Representations Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T12:07:20.991265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation eb1586af-b7c0-4752-acf8-737b09090024 · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

EmbeddingGemma: Powerful and Lightweight Text Representations Averaging Weights Leads to Wider Optima and Better Generalization

Reference 7

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metadata mismatch
local_arxiv, observed 2026-05-15T12:07:20.994698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a7381502-79f1-436e-9cda-cf1de7523284 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vi- sion and pattern recognition.

EmbeddingGemma: Powerful and Lightweight Text Representations In: Proceedings of the IEEE conference on computer vi- sion and pattern recognition

Reference 8

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malformed identifier
arxiv_id, observed 2026-05-15T12:07:20.999357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5ed9faa7-f223-4ed0-a6f3-0ce8124efad4 · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

EmbeddingGemma: Powerful and Lightweight Text Representations E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-16T22:52:21.013841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9dced0a1-50d4-4df2-914e-eeb239be7811 · outbound

This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

EmbeddingGemma: Powerful and Lightweight Text Representations VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 10

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arxiv_id, observed 2026-05-17T21:19:44.112009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2dc7e64e-4258-49d9-ae37-83fc11ab28dd · outbound

This paper cites EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.

EmbeddingGemma: Powerful and Lightweight Text Representations EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval

Reference 11

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.013735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 83e8d0cf-5c9d-481c-aa2a-549c8c90f645 · outbound

This paper cites an unresolved cited work.

EmbeddingGemma: Powerful and Lightweight Text Representations Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-05-15T12:07:21.091605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8eda5912-e880-439a-abc8-4b89b34f9613 · outbound

This paper cites Llave: Large language and vision embedding models with hardness-weighted contrastive learning.

EmbeddingGemma: Powerful and Lightweight Text Representations Llave: Large language and vision embedding models with hardness-weighted contrastive learning

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-15T12:07:21.017165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1a6252c5-3880-4763-a9fd-911f940e4dbf · outbound

This paper cites Gemini Embedding: Generalizable Embeddings from Gemini.

EmbeddingGemma: Powerful and Lightweight Text Representations Gemini Embedding: Generalizable Embeddings from Gemini

Reference 14

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verified exact
local_arxiv, observed 2026-05-15T12:07:21.022119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 43fb08fe-96e2-4990-92b8-a1bc2a3d66ca · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

EmbeddingGemma: Powerful and Lightweight Text Representations MTEB: Massive Text Embedding Benchmark

Reference 15

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verified exact
local_arxiv, observed 2026-05-15T12:07:20.976745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4337e3cc-3033-45f1-a8c5-428cb5e241b1 · outbound

This paper cites Generative Representational Instruction Tuning.

EmbeddingGemma: Powerful and Lightweight Text Representations Generative Representational Instruction Tuning

Reference 16

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.054999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9c6ecd00-f4f3-434f-99df-b8ac07f8c7c1 · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

EmbeddingGemma: Powerful and Lightweight Text Representations Text and Code Embeddings by Contrastive Pre-Training

Reference 17

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verified exact
arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5c288c99-8200-4d52-976e-4bb453d44e2a · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

EmbeddingGemma: Powerful and Lightweight Text Representations Large Dual Encoders Are Generalizable Retrievers

Reference 18

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.065198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:85bf90ae5e5c415eab78b1d5ac2d3f8a351a19c8241b500f99df2c0e69fce76e

Observation af7a4e04-b799-4d43-a7e5-2a106c51b7cd · outbound

This paper cites ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

EmbeddingGemma: Powerful and Lightweight Text Representations ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.068887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:d4737f28e3ca835feb27e0f543dd16fddedee4381dea8b860b5b7a2dad16042d

Observation 10b8e66c-2dd8-4072-a6a9-af49aae01f44 · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

EmbeddingGemma: Powerful and Lightweight Text Representations jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 20

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.073044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 787527fc-2be2-4f24-8251-c165c00fdbe8 · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

EmbeddingGemma: Powerful and Lightweight Text Representations One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 21

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.077467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:931f3389ccd63d2ecb38763e4a4ea7ce2c988cc720ba99753e1aa52d72860698

Observation ee1a5922-970c-4c88-8475-715ea24e7091 · outbound

This paper cites Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks.

EmbeddingGemma: Powerful and Lightweight Text Representations Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks

Reference 22

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arxiv_id, observed 2026-05-15T12:07:21.081692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c38f008b-8655-44dd-8cde-31e8c83feac0 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

EmbeddingGemma: Powerful and Lightweight Text Representations UL2: Unifying Language Learning Paradigms

Reference 23

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.085545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4bc3afc9-1ca6-43db-833e-5c9836585b1e · outbound

This paper cites Gemma 3 Technical Report.

EmbeddingGemma: Powerful and Lightweight Text Representations Gemma 3 Technical Report

Reference 24

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verified exact
local_arxiv, observed 2026-05-15T12:07:21.088999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:6d1b2ffeed8ae6e8a5eb772e68af728bd0e317e5aa4d3102400d67f42c483bd6

Observation ba12cc5c-971f-4e97-826e-7e6d1e0a4465 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

EmbeddingGemma: Powerful and Lightweight Text Representations Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 25

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verified exact
arxiv_id, observed 2026-05-15T12:07:21.039250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:8e87d8ded1ead76956a67a9d0f8d4878305fcf6afb23f0c4971c2246336d98d1

Observation f4631fa3-f1ee-4b19-b6f8-3b1cccba8af8 · outbound

This paper cites Learning Spread-out Local Feature Descriptors.

EmbeddingGemma: Powerful and Lightweight Text Representations Learning Spread-out Local Feature Descriptors

Reference 26

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verified exact
local_arxiv, observed 2026-05-15T12:07:21.047927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0e9e472f-cde0-4800-a99d-94003388c8e3 · outbound

This paper cites LongEmbed: Extending Embedding Models for Long Context Retrieval.

EmbeddingGemma: Powerful and Lightweight Text Representations LongEmbed: Extending Embedding Models for Long Context Retrieval

Reference 27

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malformed identifier
arxiv_id, observed 2026-05-15T12:07:21.027986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:97699461f4597498fac1bd0f0df36cb6bcec16a6bd03d9915375efa30fd5479b

Pith citing papers

Observation 891eee36-5479-432d-bb7a-d6fa8a41bfa3 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-18T09:26:10.553671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T09:25:06.990685Z digest=sha256:80700fb0357e15e18d8e9e0ce3223424c6387dc7bb78d15b6956d824cfcdf586

Observation 9d336cc9-9248-41e0-a38d-0f76d8ee6f3f · inbound

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval cites this paper.

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 4

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metadata mismatch
local_arxiv, observed 2026-05-18T08:51:08.604880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T08:50:36.676548Z digest=sha256:eac0d545c4e96a39c587e5b8b1ae7eabb360d7fb29efbc104363058c4aaeb3f4

Observation 450102ad-e7d7-4e4a-a23b-7a0b93f73180 · inbound

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker cites this paper.

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 38

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metadata mismatch
local_arxiv, observed 2026-05-18T00:05:31.435155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T00:04:47.376473Z digest=sha256:5528b43996e66389cbd7affa15b066b4928254db96307f9e8f520e57222461e8

Observation c199b9fb-4b4a-4d4a-8751-775f3c94e0f2 · inbound

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation cites this paper.

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T03:35:12.746124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:35:12.746124Z digest=sha256:98e1b3d298b23c3ee21eb2ae52c29c9a0333e9a7b25ec49a9c1661e2563e03d6

Observation a39f7c9a-6580-49ab-b33c-279f37f08e29 · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 183

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verified exact
local_arxiv, observed 2026-05-16T02:37:10.554385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T02:33:56.023070Z digest=sha256:502dcc6546fb83f52ae04d2616db3e68af49be7137f8906c297bb6d32a88c815

Observation ae0c48d1-5c4a-4161-a4be-c9c336e092f3 · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 34

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local_arxiv, observed 2026-05-15T22:50:22.428828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T22:47:12.521942Z digest=sha256:c8cfcb359ad9f03605d9388ec152be22963e424b1281298e4f9cf5e500e19529

Observation f3e8565a-ff96-4d31-83b2-d8a681c3f9b2 · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 33

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unresolved
no resolver link, observed 2026-08-02T23:47:02.328954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:47:02.328954Z digest=sha256:8f22997285b4425c51cc4fb08d7af22cc4fcf30a2386d38ead814896f8a89447

Observation d66330f2-3aba-4f1f-b673-5ef47389e02e · inbound

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning cites this paper.

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 39

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unresolved
no resolver link, observed 2026-08-02T19:23:18.097369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:23:18.097369Z digest=sha256:540fbe4b8d4f23330a1f212210f71cd63349c210fe49cb15e617926c558f320f

Observation 98fa0ff8-557c-4d3b-bbe6-78eb4dbf45a2 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 32

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metadata mismatch
local_arxiv, observed 2026-05-15T12:30:00.501146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:26:08.190349Z digest=sha256:780c684424e6fef1f3f059dfb90a0e1631c2029248ed4823a2c5411edbb131d9

Observation 3c7a3a84-46a4-4582-a3a4-7b55fcbf28ec · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 1972

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unresolved
no resolver link, observed 2026-08-02T18:20:59.529349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:20:59.529349Z digest=sha256:aa64aaf001435e812d6d73b8fd85ff41c4c169c649b9652986948128da9de619

Observation e2ada383-0482-40d0-a7a1-179b2c4438e9 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 1972

Resolution
unresolved
no resolver link, observed 2026-08-04T05:49:10.363565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:49:10.363565Z digest=sha256:33a4347944e196f8e29ae9f15e8ad34aad9d1b4f05609f6fcf4b204ca1f4fae7

Observation d7884d69-005b-44df-b638-4bc58d628c85 · inbound

Spectral Tempering for Embedding Compression in Dense Passage Retrieval cites this paper.

Spectral Tempering for Embedding Compression in Dense Passage Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T08:57:36.201292Z digest=sha256:92a5746540045e3ced8b755c7108b975318a058823106ea675e08c0e83d656f4

Observation cc075f39-7c90-49db-aec8-2167d9477e3f · inbound

SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation cites this paper.

SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T21:05:49.558519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:05:49.558519Z digest=sha256:b98bc9b46c22fa09daa8cc3c721f8556c38bf60903b6158af4325297de4dd20f

Observation 06d973ac-f68b-442c-85cb-903ead495d8d · inbound

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset cites this paper.

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:30:56.156113Z digest=sha256:2f3820307b62371b2ee7a867b80ae68fcf1c7148cd68a5ae75c9d37e46f9ba94

Observation a00e3c45-c1b9-4ba6-a572-b9f3568bcee3 · inbound

Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition cites this paper.

Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:22:48.910006Z digest=sha256:9c0f71e0d1609fe7c6e90146e35553ac2a7096b42284942195442d2446b41ee1

Observation 0c9e1c46-8bda-40d3-85d0-b4b518f8dc80 · inbound

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning cites this paper.

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T15:00:45.546045Z digest=sha256:589f0d3ed2caa3765c5bd6dea9008d653066735edecf04fe0e25559bf823e066

Observation 15efa803-314a-43e2-b267-20803f3adefc · inbound

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings cites this paper.

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T12:17:54.168604Z digest=sha256:f6bd9f2c40f98991ac3f62dd3fbe00e223216097a6210a64fc47b3801b335896

Observation 37541ad0-b8f2-425b-8319-3ae587ee2597 · inbound

Comparison of Modern Multilingual Text Embedding Techniques for Hate Speech Detection Task cites this paper.

Comparison of Modern Multilingual Text Embedding Techniques for Hate Speech Detection Task EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T10:54:33.904118Z digest=sha256:4693586c847ebf0865717d59a763add99b153eebab0c5ab964ddfd69d94e24c7

Observation 9920f8b8-d164-4a5f-8be9-bc025e578116 · inbound

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications cites this paper.

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T06:03:50.054105Z digest=sha256:3006afb0e898d32e7f8caba8456919f246514dec02b57c59b94e23d65fa9c39f

Observation 0d038614-470c-4dec-9687-c29f50cee8ab · inbound

Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models cites this paper.

Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T04:34:53.022835Z digest=sha256:06a6e7f0e7d16e9381b1b392bc06418c07e1a12ba260efe3b5572c473396fff2

Observation 60c67625-e241-4108-bfd1-5a0692d853ac · inbound

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval cites this paper.

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T07:29:33.327173Z digest=sha256:b8e61003841f9c94c993d6dc1955373f034564881526ce89beaceeff7d119eb1

Observation 0353d2dd-65de-4805-a683-b663087999a6 · inbound

Iterative Definition Refinement for Zero-Shot Classification via LLM-Based Semantic Prototype Optimization cites this paper.

Iterative Definition Refinement for Zero-Shot Classification via LLM-Based Semantic Prototype Optimization EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T10:29:22.334429Z digest=sha256:267b5bad69f817932364cd49ef6f454153241aca52792bb746acd48bb5504cd5

Observation dcf666bf-d6fc-4598-aa8a-ef419f064a2b · inbound

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study cites this paper.

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T17:26:49.023109Z digest=sha256:6ab415273d20a124b4297b5260140c0284adea796f90d0873a3ed66bc81780ad

Observation 58ae742e-fe61-43a4-bca8-7156383f338f · inbound

Identifier-Free Code Embedding Models for Scalable Search cites this paper.

Identifier-Free Code Embedding Models for Scalable Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T18:06:14.202115Z digest=sha256:5fede9018738532ff75c8e3696493b845bc6da8c173c567154d0d0021e9b2de0

Observation 75e6d037-159c-4322-9d73-eca4e7d5e1a0 · inbound

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal cites this paper.

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T02:33:25.462269Z digest=sha256:384babcb037e91109dced6edd01cc9c1f94adb07c2fc083f1672cce04661a178

Observation 8099a1ea-e117-449e-9ddc-0f90ef712e34 · inbound

An Annotation Scheme and Classifier for Personal Facts in Dialogue cites this paper.

An Annotation Scheme and Classifier for Personal Facts in Dialogue EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:53:28.491889Z digest=sha256:d055ce1d59808273951d3d922bccf774bc8799c28784d78aeae1b7692ace725a

Observation 87a56e89-ada6-49ad-8eca-c0e94a277bdd · inbound

Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.

Test-Time Compute for Frozen Embedding Models through Agentic Program Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T02:29:11.167251Z digest=sha256:3ea8348d16a0b1ca361e5dc67e144c1743751c60dad2fc324f4a04e2614b97d6

Observation ac162ceb-a804-449f-8237-ef6ab2237e6b · inbound

Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.

Test-Time Compute for Frozen Embedding Models through Agentic Program Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T21:33:24.890658Z digest=sha256:f1d345fc3b3d63d25b46ad29a5de163f33bbf9f36d4c8ea276d7d87c55c2b03e

Observation 0a2b9c52-f218-4a6c-832d-5d84ddbe2cf9 · inbound

Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.

Test-Time Compute for Frozen Embedding Models through Agentic Program Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:15:46.581369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T22:12:25.941425Z digest=sha256:b3d2ce3470a1bf7a96ce0e429df6b0267dc6bed0da373d2f943902d8e03401fc

Observation 8ba9e2ba-4559-40cb-aebd-18fcf1840135 · inbound

NAVIS: Concurrent Search and Update with Low Position-Seeking Overhead in On-SSD Graph-Based Vector Search cites this paper.

NAVIS: Concurrent Search and Update with Low Position-Seeking Overhead in On-SSD Graph-Based Vector Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T01:46:21.916718Z digest=sha256:cc99b1a4d6497302df9aea6e74e3c92a70f327b0e5f004229bbae6927bfad942

Observation 7ec80f57-6eda-4f40-9658-a1594f729f9d · inbound

AuDirector: A Self-Reflective Closed-Loop Framework for Immersive Audio Storytelling cites this paper.

AuDirector: A Self-Reflective Closed-Loop Framework for Immersive Audio Storytelling EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:06:54.972846Z digest=sha256:75d1764d0dc8269414a3fa4f3945335928e3988e14b1a3fff3d80e6c9324d22b

Observation f548fad3-a8de-4afd-919a-89d71bc892b0 · inbound

AuDirector: A Self-Reflective Closed-Loop Framework for Immersive Audio Storytelling cites this paper.

AuDirector: A Self-Reflective Closed-Loop Framework for Immersive Audio Storytelling EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:29:52.756039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T08:28:21.790110Z digest=sha256:fd0cd490321ba9bb48a654f95d72311a25bc050f9a405ce7baaa36647b5f3a4f

Observation 701b1e20-0b8f-4912-bfe3-d15afaf56bbb · inbound

Differences in Text Generated by Diffusion and Autoregressive Language Models cites this paper.

Differences in Text Generated by Diffusion and Autoregressive Language Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T20:59:06.804446Z digest=sha256:9e5e7c73309eeb7c9ad901e8c9ccee409d1a8602d90ba584e3191a31abeced6f

Observation 5c6b07f0-651c-4f92-af22-b8738f38d3bd · inbound

Granite Embedding Multilingual R2 Models cites this paper.

Granite Embedding Multilingual R2 Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:07:21.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:16:49.148303Z digest=sha256:32b950dc768910c585d958eb1531fd165b95190a14425716bf3f6449644e7d83

Observation 897f5f02-75f3-47f6-98c6-04c4d323041b · inbound

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World cites this paper.

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 22

Resolution
malformed identifier
local_arxiv, observed 2026-06-30T20:25:01.389098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T20:24:58.059014Z digest=sha256:ebb297c2c79f78533205a74909cd682418184861a1fe61398a94bfa0a7dfb53d

Observation 43e26a25-6245-4317-8500-5e225abfe41c · inbound

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios cites this paper.

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T20:18:59.699508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T20:18:39.370216Z digest=sha256:d6d2667828bd6b518e4a5143238c7e81f67d25505eb4d0b1ee6601c72efc3235

Observation 382a07c7-bd7e-40e9-a415-17df5c3cbc7d · inbound

BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks cites this paper.

BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:52:46.279347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T20:48:20.856172Z digest=sha256:f16d410a3d8bd23df5ed6c7458bcce4a5ad40c1134fb046755423ba6942c9593

Observation 5fc75b00-63c7-484f-ae60-68fefd6eaa9f · inbound

Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance cites this paper.

Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 127

Resolution
verified exact
local_arxiv, observed 2026-05-22T06:24:40.807607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-22T06:21:23.421126Z digest=sha256:acf44b29d740b085db27111bec14483e89c1f0e54ca1c57f0769c013a6b1cd9b

Observation 19ef127d-833d-469a-8deb-acb25bbc15a7 · inbound

RADAR: Relative Angular Divergence Across Representations cites this paper.

RADAR: Relative Angular Divergence Across Representations EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:40:23.930926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T05:39:39.765999Z digest=sha256:1e4395681ed08e0b48f838a0ee361df69d23f0aaed452eeeb1b80f939889567e

Observation 2720f250-433a-4f1f-9ec1-c41832486653 · inbound

Is Dimensionality a Barrier for Retrieval Models? cites this paper.

Is Dimensionality a Barrier for Retrieval Models? EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 105

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T04:56:38.712400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-25T04:55:45.919518Z digest=sha256:cfa28da503dbd3c54a76b46a941d6e3b4fd09d0cea50823a75ba76ac4a6f1621

Observation 3669219e-1a1a-44be-a957-49ab0d225406 · inbound

HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval cites this paper.

HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T03:26:35.848097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T03:22:37.162555Z digest=sha256:51ff130c12fad061d6aa858f4a772212c4165215a54344f6c0304146821579d3

Observation 07dca5be-a28f-4e7a-8e93-1159536d7408 · inbound

The Multilingual Curse at the Retrieval Layer: Evidence from Amharic cites this paper.

The Multilingual Curse at the Retrieval Layer: Evidence from Amharic EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T12:44:39.378725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T12:38:04.316352Z digest=sha256:348920fc967b772ab7bf5a74bd610ea4251d9e408ff45310b38cccf4d347acb0

Observation 468b12af-25d5-4567-85b4-efa917409aae · inbound

Grounding Text Embeddings in Stakeholder Associations cites this paper.

Grounding Text Embeddings in Stakeholder Associations EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:53:50.672182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T18:50:45.886917Z digest=sha256:33946582abd8dd075238b0b569e72246d767210b18453fc2b606d20cdb071b8d

Observation 0eef6832-33ba-461f-876c-8efd6534e796 · inbound

Adapting Multilingual Embedding Models to Turkish via Cross-Lingual Tokenizer Surgery and Offline Distillation cites this paper.

Adapting Multilingual Embedding Models to Turkish via Cross-Lingual Tokenizer Surgery and Offline Distillation EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:53:14.336822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:34:06.221069Z digest=sha256:bc0d85785833ad89ea4e21a69abdf7ee1008f746df7c8971de68112ac32df337

Observation cb7986f2-d182-40e8-8b90-8a826e895c72 · inbound

CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law cites this paper.

CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T07:43:13.878390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:37:36.187564Z digest=sha256:011b103d099a836606dab56201c13c2a54336286d3aaccbb61ec33a4ba3f0f74

Observation ba947425-2c9f-491f-9230-2726afc70422 · inbound

On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets cites this paper.

On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:26:00.226031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:43:27.232092Z digest=sha256:3d691862d2281fa9ecd8cd6d3873c6c057887aff89eb2f3088b66c0174766d21

Observation 78b5c1ef-26d1-434f-a369-7bf721e72415 · inbound

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? cites this paper.

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:16:16.101142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T15:37:10.765798Z digest=sha256:aa2af7eaea8094a7e710dd0e0d4b85b2258f8e0cbae91eebd5f5e0f9eb18c6f9

Observation 0ce8dbd7-b553-43b4-98e0-5a019a923e72 · inbound

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia cites this paper.

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:36:26.915398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T10:48:59.427749Z digest=sha256:9d45ce12a3ed2ba6ffa5b5f43cdc36447de4e4a332b1a59b63786d18835969be

Observation d6553c41-e427-4920-940f-e206f8cbbd7f · inbound

In-Context Learning for the Imputation of Public Opinion Data with Large Language Models cites this paper.

In-Context Learning for the Imputation of Public Opinion Data with Large Language Models EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-27T16:31:02.032421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T16:29:03.226336Z digest=sha256:21d98eeafbd6b1c8ac9d586fb319ce96c0d9af89bc086eaaaace3dfe604d0dee

Observation acd6b5de-7eae-4dae-a65e-6ecb1eb5632a · inbound

Zero-Shot Semantic Re-Identification for Autonomous Driving: A VLM Baseline Study cites this paper.

Zero-Shot Semantic Re-Identification for Autonomous Driving: A VLM Baseline Study EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:57:30.709706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T16:51:22.211807Z digest=sha256:c6f97d35019b1224edd1289a57608ead706c71be00dbdfde61d85302d7e3f280

Observation 3dd1c919-b5a3-458f-b6ab-706c5beef6a1 · inbound

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite cites this paper.

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:37:37.117593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T13:46:46.866049Z digest=sha256:c1096b2acb64a1756ac321d4bd0c36f36afbc3370edbef41f8aab69527118ba1

Observation 17804641-9054-48d8-9af4-6d24b6dd588f · inbound

Agreement in Representation Space for Open-Ended Self-Consistency cites this paper.

Agreement in Representation Space for Open-Ended Self-Consistency EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T10:17:57.727732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T10:07:43.193421Z digest=sha256:4bae13209a6cb73e5c9f8277e50a01957d3831637a6984ec52f321e6c1308f8b

Observation 1439fb51-bfbf-4917-9573-91c2e9b07414 · inbound

CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents cites this paper.

CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 48

Resolution
malformed identifier
local_arxiv, observed 2026-07-03T12:28:07.452242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T09:00:10.153170Z digest=sha256:2926bb13177bd4db568be4795ef58c98fb57ca637accf202ebb1d21289e4b0c2

Observation eeb1a3c9-b660-40c5-9f75-f1fadffeb323 · inbound

LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction cites this paper.

LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T14:08:22.474250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T07:09:33.306631Z digest=sha256:6f51ff76ed125bb020b3170b3d25f04b8f9373b902184df0873a867b78b5c0a8

Observation 86d9838c-949f-4529-9347-5841ff0fdb7b · inbound

SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation cites this paper.

SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T15:08:33.569080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:39:16.607939Z digest=sha256:d55ddecdb3298c141c0711a98a71fcfa1b963e83a808f2437d7147341ba396bf

Observation 744accd4-ebe5-421e-b88c-45c0788ba173 · inbound

TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization cites this paper.

TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T21:28:59.423292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T00:25:15.689389Z digest=sha256:d989d16b4d8e16cd02803cef5b316614b7704606b22ecac506f69bcdb11bd953

Observation 301b6d11-4470-4db5-b29f-f023ac900994 · inbound

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval cites this paper.

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T02:39:24.030945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T19:38:01.564336Z digest=sha256:8d0fcf19d0237b1ee4e71e865626f9d8a8ab09e80a0ee16c13bba7cec36a17e5

Observation 95c1e02a-e17a-496f-8a12-a8f8e0c3c98a · inbound

Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning cites this paper.

Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-04T02:49:24.852018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T19:04:45.062426Z digest=sha256:8c19465348bda63071230403e8138b5a156b3dc141f575e4a59ffd5c187c4ea4

Observation a16d137a-a5de-4ccf-a0c3-81843fa746b8 · inbound

Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries cites this paper.

Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:19:53.923197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T04:15:24.646894Z digest=sha256:79b4090dc667d4d15a1d2c2085a654e876725a31ae4089f8e7661650d239e7ed

Observation 925d0e16-6080-445b-a585-42054b62d2ed · inbound

TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies cites this paper.

TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:15:01.145577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T19:05:11.545179Z digest=sha256:9e6f05bf4c09f6e3d4cc7c660ed3708168ad8754a3f2c6c8e13bba6bf1e8cafc

Observation 894b7eab-2beb-4651-80a5-40dfabd45d25 · inbound

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories cites this paper.

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T09:24:31.834347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T09:19:10.305679Z digest=sha256:24a8fd4f89e120c25f7e0db5e955097cf31104afb31bee8a6cd613df9d4a940e

Observation 09943324-7047-4c7d-adad-b42070335c3b · inbound

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense cites this paper.

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-01T01:45:13.843443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-01T01:44:07.700127Z digest=sha256:fd92b49e5b8bc22e9570cb9d9b878da003afa9a46d01c3e3745e5ff32b14226b

Observation 6922ccd3-a67a-47a4-bc08-19518ca1118c · inbound

ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs cites this paper.

ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-02T19:17:17.776465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-02T19:10:54.852083Z digest=sha256:41eab413f008570e2aabd3e4a711b7937e81da84328ca16f070ff8687aa640e3

Observation 52eae9b9-23c6-42f5-8867-2c77c1cacb67 · inbound

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination cites this paper.

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:26:55.873166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-02T12:26:46.384850Z digest=sha256:bd0aa5c668f6bfa6e876520a1f2c940bd3281c759d3b1fdc81be123f8a268931

Observation dc6b83eb-7c32-4668-8494-61dab01be699 · inbound

Predicting Drafted Deck Strength for "Magic: the Gathering" cites this paper.

Predicting Drafted Deck Strength for "Magic: the Gathering" EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T13:36:45.359182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:36:45.359182Z digest=sha256:70a2b43975fbf4bef002a5a26891cf59178606ca002a359a06abaf17247e9519

Observation d3581a55-1003-41b0-85ba-93849cf8366b · inbound

ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation cites this paper.

ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-10T03:06:43.623225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-10T03:04:23.278576Z digest=sha256:ab3531bd00188b1c466f268486befe6cc37e2e2acd1d9a0c2b2e8ae1dab74340

Observation 206b4350-fa83-4a3e-a0e1-684cbdd75b4d · inbound

EmbeddedKittens: An Evaluation of Code Embeddings for Scratch cites this paper.

EmbeddedKittens: An Evaluation of Code Embeddings for Scratch EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T12:53:44.519095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:53:44.519095Z digest=sha256:b0a2ab7706634814fc84e64c4d7e9f6866d42cb15acc290dd4fec30eb2032a7c

Observation 910c325e-8db8-4fd4-a9af-b55f298e0960 · inbound

LAVIFT: Latent-Action-Guided Vision Fine-Tuning for Surgical Interaction Recognition cites this paper.

LAVIFT: Latent-Action-Guided Vision Fine-Tuning for Surgical Interaction Recognition EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T11:30:57.463386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:30:57.463386Z digest=sha256:e35a32591d7ded8b8d312913cb66104cf1035edeae912e65c2334b1c35e57307

Observation e3acf2e9-c138-469a-bcc5-b66724ed89f5 · inbound

MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery cites this paper.

MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T06:47:19.153317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:47:19.153317Z digest=sha256:e4a7f541d70ca368ddd7c68a01ca74c2b46474a1de61cece41d494e46990cec3

Observation 0e1dcdb2-fb8d-45a9-bb1e-6787b4fe6625 · inbound

Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs cites this paper.

Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T08:37:51.059833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:37:51.059833Z digest=sha256:8aed56f7e2969c76a3109160353ce6048ad781bc28315d52ec8c3f374319225d

Observation 51f08243-4939-4ea1-a4ec-c3fa51424ad1 · inbound

ScoreShield: Differentially Private Release of Similarity Scores cites this paper.

ScoreShield: Differentially Private Release of Similarity Scores EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 91

Resolution
unresolved
no resolver link, observed 2026-07-31T02:59:45.862555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:59:45.862555Z digest=sha256:f85ff76c92098997f068153f46a5560e537da9853aa29efd77dba60af2d1799b

Observation c81d2927-9831-4589-a758-01d7cd5e0c62 · inbound

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders cites this paper.

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-01T03:16:00.694971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:16:00.694971Z digest=sha256:e018e067171bbb2fcfa9edd3866e7dfb43dc7f56713436957e36313c68e5a116

Observation c932c21c-3af2-4b34-98db-99fc441dffe9 · inbound

Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text cites this paper.

Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T17:21:43.215029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:21:43.215029Z digest=sha256:7e42b3d13ba6a603337de00042cc67648911476203e682fbc4f257c6f63f8ff6

Observation f76c6be1-afbd-4d4f-b64f-74c42c91bdf0 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 146

Resolution
unresolved
no resolver link, observed 2026-07-30T11:17:16.931676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:17:16.931676Z digest=sha256:4f98d555d574da2625735ab5331babb2932f44e009512763a03576139661e0b9

Observation 1265ece1-7bd0-418b-8dab-723eb03ce2de · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T01:43:09.117803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:43:09.117803Z digest=sha256:b66a0da3e26452d787337167ca6d579d902d33f8a0dcc57c4dc89d062812dd7b

Observation 027ff9f3-49f0-4644-a40a-2a557b7aef45 · inbound

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation cites this paper.

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation EmbeddingGemma: Powerful and Lightweight Text Representations

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