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Paper Citation Record · LEDGER

Gecko: Versatile Text Embeddings Distilled from Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2403.20327.

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

pith.paper-citation-record.v1
2403.20327 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:46:48.931590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.912981Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab6f163a-de4a-420b-8659-356593ddb202 · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:15:16.243765Z

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=2026-05-14T21:15:16.112918Z digest=sha256:fcc1e4b14c4261be10aa2f85249b1d6a86d7f44e69c5465d1d6643a997fa5fdc

Observation dcacff2e-1753-4762-95ba-865d288d9768 · inbound

Efficient Item ID Generation for Large-Scale LLM-based Recommendation cites this paper.

Efficient Item ID Generation for Large-Scale LLM-based Recommendation Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T10:46:48.931590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:46:48.931590Z digest=sha256:5a7e0fd967f7ff1070e6be0cf9ae3e3829c042ac2475b8e5354e35b60d207ab5

Observation 83946d0b-11a4-45ac-a3f3-ff40f6cc233f · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T20:24:40.625446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:24:40.625446Z digest=sha256:6d2666fc9161b999cfffad0a9a2a3178ddffb2eae454dfc9a57af4a34425cb6a

Observation f8aa5d77-8f57-4878-afe8-36615d031c82 · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T09:50:44.735325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:44.735325Z digest=sha256:88094d4a343c6f6e6b0e86537a7f0e1afd54ec85be65837dce86b1d468a158db

Observation cb142a24-9e8a-4243-9e95-b48804045e1d · inbound

Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters cites this paper.

Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:01:01.593870Z

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=2026-05-18T06:57:53.532494Z digest=sha256:2dd778901151620a3d28422cdd1af20b9b3c4fd7e7291df7a084a5cdb7b91b0c

Observation b64b5737-91a9-438e-a452-4e5f60107343 · inbound

LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval cites this paper.

LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-03T10:45:43.806959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:43.806959Z digest=sha256:d64caa3ebc0e0536c9381a732d5f4453985cb406ed9880be91644816529087e2

Observation acac2bf2-7ebc-4628-b7a9-f60b6f818dbe · inbound

LLM2Vec-Gen: Generative Embeddings from Large Language Models cites this paper.

LLM2Vec-Gen: Generative Embeddings from Large Language Models Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 2025

Resolution
malformed identifier
no resolver link, observed 2026-08-02T18:28:28.261689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.261689Z digest=sha256:6575df309f61b131f903d801881b199b6380b68f3f4eec54f000d7698553b5c8

Observation ccdc1daf-7c5b-4ecc-b8de-49faa4c7804c · inbound

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models cites this paper.

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:29:54.004654Z

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=2026-05-15T09:27:34.198587Z digest=sha256:19dbcbd7b797e7e91f3ebadff36e310ba8c568e8ee656c5dcc59bd48e9d269af

Observation 4be377f8-235a-4a6f-8bd7-a43362afe851 · inbound

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval cites this paper.

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:11:12.409234Z

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=2026-05-10T16:10:43.392191Z digest=sha256:67ffb42a4aca72eedd5414c3fa0713c14b47578fc52add9e57992efc3823bfb8

Observation 8444e9b6-8c37-4cfc-a2e0-489edbe4b1f6 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:01.062687Z

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=2026-05-10T08:47:36.122054Z digest=sha256:7e1be83336dbc6d18fe509d1eb784066a53524a9047405254fcfc1859c404258

Observation 655f9e2f-a619-4993-971f-a882987e0190 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T16:12:10.208263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:12:10.208263Z digest=sha256:490d69af8c81a503c59fc71f27d0a1954bd8aa337acc67ef1fe16be93f80a834

Observation 6d46c999-0af5-4ceb-933c-daa123fbe6a4 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.627598Z

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=2026-05-10T04:09:10.125285Z digest=sha256:bd624ec2ce6e31752961fba1782dc81c104593b6b167e5cfcb5d3c74bccf53e9

Observation 189aac7c-b7a1-48d9-8fa2-d0c117e0c3ce · inbound

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges cites this paper.

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:56:05.140650Z

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=2026-05-09T20:53:05.314601Z digest=sha256:83e0487fbba1f01b2e7f288dc4ff6630a4ad92231e496054ced952a45f203d3c

Observation 77df969c-7f66-4997-bfb2-0e88fbdceb9d · inbound

IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions cites this paper.

IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:04:39.681860Z

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=2026-05-22T06:01:40.472586Z digest=sha256:9a41b35af90415d4775826def1ee8d793309353087d9987aaede6e623476bba1

Observation d52205b2-7714-43fc-b89d-24a46f94bb24 · inbound

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini cites this paper.

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.284518Z

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=2026-06-29T18:23:30.681253Z digest=sha256:254d690e75a0dbcd9b1f5ef0371f6e996f771837979082a0aa7bcf7214613531

Observation b12498f3-5690-4a9c-8c1e-03771bcf2e54 · inbound

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations cites this paper.

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:39.021103Z

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=2026-06-30T12:26:16.242952Z digest=sha256:a462523c108f6a02f52a2c543311f083ed273dc050900dd761a0cf629ae86c00

Observation e6e054bf-bf53-46d4-a5e9-0bac78e6093b · inbound

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework cites this paper.

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:26:45.702114Z

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=2026-06-28T06:59:06.801340Z digest=sha256:d8e24827f0edc2729f68fd555e7a392896ab1dac7745874df95f9c512fb1c50c

Observation a502c2f0-e2a2-4909-a3c7-8052797999fd · inbound

Traits Run Deeper: Trait-Specific Asymmetric Fusion for Personality Assessment cites this paper.

Traits Run Deeper: Trait-Specific Asymmetric Fusion for Personality Assessment Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:37.097043Z

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=2026-06-27T14:08:00.387995Z digest=sha256:a5016836bf5a5949ff31861a858a614275135fe4bb500370666a32a5bd4e600e

Observation 1efedbae-acc6-486c-8bce-9099066903ef · inbound

PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation cites this paper.

PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:04.296748Z

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=2026-06-25T22:33:32.175982Z digest=sha256:7c93050cf23a5d50a66ca383f951f4f239632b187ec1c8fcc3cb0d44424a26f1

Observation b1bbecfa-99ae-4a72-b706-7d86f9dd8f6f · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:00:08.914729Z

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=2026-06-25T20:48:30.687676Z digest=sha256:a7e6312241daf37cf958d6d739ecdc2a15bfc86df41a0f375b994b0144bd85c6

Observation 9546d93a-71f4-47b5-8cba-d6a02507aa56 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T10:15:53.759501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:15:53.759501Z digest=sha256:443d19101bc5c16512b08385d953b9b4d85e2f4fc722f12fbb1afbade5b8d3d3

Observation 2a10bf7d-1354-49b0-8f8d-387554d3587c · inbound

The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search cites this paper.

The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:44:36.913262Z

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=2026-06-30T10:36:35.781906Z digest=sha256:4d763d61cca6388dcb6908d11d4f919fb433c7af0851563a463464bf6f8004d4

Observation b3141f08-90d1-4a35-87ff-4ec349248cb6 · inbound

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health cites this paper.

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:44:21.969700Z

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=2026-06-30T07:39:08.660337Z digest=sha256:d196e3786b5562fd441eb45e9dd59a8b22a31031a55ce225bccdc2716943ebf1

Observation ecd20256-aa3d-4d04-a269-c66995894c11 · inbound

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health cites this paper.

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:49:00.987014Z

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=2026-07-03T22:42:40.207711Z digest=sha256:b7748e4c3a83576a0c4fe13e0e13480aa06f75e20af4391b0f6eb3fa6f76d70f

Observation ed3b7244-2658-4085-a36c-d0d463cebbf5 · inbound

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health cites this paper.

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T10:57:57.406511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:57:57.406511Z digest=sha256:f36430f639f5041d831b28987c8928be6d249abb366095956de5968f18815138