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Paper Citation Record · LEDGER

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2212.09741.

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

pith.paper-citation-record.v1
2212.09741 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:24.472276Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 89d50f23-276d-488a-91ca-207866a5de5d · inbound

REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.

REPLUG: Retrieval-Augmented Black-Box Language Models One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T12:41:54.157591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T12:41:53.833754Z digest=sha256:5d581e9f4e1eca86734fdc88681f4092b8e4fb2d8124fd4915a6fedcd3fd0962

Observation 021cd3df-8573-4f6f-93c6-9e12341bd929 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.146825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:e60059b6aaa0ee93a18662b4131cd055d6d95d99fe86872c9656881a85725a93

Observation c308368e-0a39-437b-b143-773356fafe8a · inbound

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries cites this paper.

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T13:54:19.706602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T13:54:19.264893Z digest=sha256:657501852522f1b08b81ba10d36de3fc25d6eb56173092de75956e7d4f98ddaa

Observation 118dff2d-0753-4dd6-9bc8-c24c37b20be7 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:24.472276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:24.472276Z digest=sha256:e8db421bafe6681ee07e80d447475dbf0ca69c6042568a82239f0edd4b01043f

Observation 24ddb460-6ef5-42f0-9db7-db5421ad3661 · inbound

Named Entity Swapping for Metadata Anonymization in a Text Corpus cites this paper.

Named Entity Swapping for Metadata Anonymization in a Text Corpus One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:15.017927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:15.017927Z digest=sha256:673db131c69173638e3f51637c945425f1af463ca33d8c3f437a5ebdcfbb3103

Observation 6c5b92c1-e38f-47bf-8f80-221fcf8972c8 · inbound

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation cites this paper.

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:33.302508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:33.302508Z digest=sha256:66b7f240efb1d6b983c3b407b71af8c2fac1f8287f5e677a194a65e40c7dfe7c

Observation 6883a59a-de35-4ced-bf0e-1fa5ed415976 · inbound

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models cites this paper.

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T19:11:19.699224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:11:19.699224Z digest=sha256:becd48f0b300b159c7611072b23e6d464bd555c80f9f8a63161b74cc0df0b7e8

Observation 74d000c0-5df8-4577-8d25-d1b78cad69f4 · inbound

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification cites this paper.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:15:44.323907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:15:44.323907Z digest=sha256:778bd3c80128c89b9651e6f736b51eb4eca15a152d4fdbc5b9478708f9d6f04f

Observation a5b7a1f0-1b5a-4b6f-b200-0b67fb4a2009 · inbound

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input cites this paper.

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:52.058216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:52.058216Z digest=sha256:4ac237d547009dddbb4449af876d33c586f4756c9eea32f6d97a9b9d52fe786e

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

EmbeddingGemma: Powerful and Lightweight Text Representations cites this paper.

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

Reference 21

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:849fb7dc5e6e9f428e7d519baf422a9dfd992b124c268bd2345aa4329c75cdd5

Observation df305b97-9e87-4018-88b7-d4934d595b10 · inbound

NILC: Discovering New Intents with LLM-assisted Clustering cites this paper.

NILC: Discovering New Intents with LLM-assisted Clustering One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T23:28:00.724571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:28:00.724571Z digest=sha256:0aeb0573a580034419285c1325ea7ef5f3573dcc42ea34032eee888ce78ad2a6

Observation ea6fb512-17a2-40bc-86f3-0ff008c05638 · inbound

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering cites this paper.

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T20:50:15.141225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:45:26.815527Z digest=sha256:e21bbd46ebc768e0e127acf6ce80ee2d76d48f3bcfd88260490336d8bcc4a62d

Observation fc6bdb11-6a4b-4c79-bdf6-d13877eae3ea · inbound

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship cites this paper.

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:30:58.513226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T13:30:47.813209Z digest=sha256:3de3e22300d6335824b69b04623bdb58f1f525020e4c4ff84f5b0cc624ebd91d

Observation 7a6b7eea-d2fc-4515-847a-c4fa31445992 · inbound

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship cites this paper.

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-03T09:40:07.837316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:40:07.837316Z digest=sha256:c5d3163e7b9e072c07929d9be82e0b56a5c192b018aa0e1db52e6506725e2223

Observation 08e6c655-7b2b-46e9-8164-082a1dc5a466 · inbound

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search cites this paper.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:30:16.762903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:64973d8c35b5dcc1393461d73e0dbea3a0f77d85c5eb6ae531f0855768f2635b

Observation 6298dd4f-6a92-4f41-bab0-51d7e5f4345c · inbound

Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces cites this paper.

Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T19:45:54.225868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T19:45:15.249619Z digest=sha256:86683b502437260229edd566e72799a2a4ad68d1da13d83da8261523e34ffd25

Observation 1f59ffe2-f240-4a34-bbb4-a131c7908d7f · inbound

Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces cites this paper.

Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T07:45:28.692511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T07:38:00.290159Z digest=sha256:fae26bcc0a47c49ad1dda4326a532f9181095ac31669708a0df0d8a85553596c

Observation c708ca3f-4839-4b44-b7e3-6706e49cb946 · inbound

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems cites this paper.

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:51:40.850194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:06:51.876295Z digest=sha256:24e1c294d6f1b73528e58bc3f7745be4e91fdc1faf0db098bcf870a8ea89b54a

Observation 52cb277b-32cc-4692-95db-4a57f42b8982 · inbound

DRS-GUI: Dynamic Region Search for Training-Free GUI Grounding cites this paper.

DRS-GUI: Dynamic Region Search for Training-Free GUI Grounding One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:27:24.239271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T14:24:48.938948Z digest=sha256:4bc84b296a0043d1f2051a4397cb827650808f994656e93698e008481d6195aa

Observation cc6842f2-9120-4f26-a3dc-ad32d743e387 · inbound

Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text cites this paper.

Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.120242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:33:55.989475Z digest=sha256:833ea8e2ba29b05047da02a80eaa58681e56adc239e96732941c78b02be703fb

Observation c4c2818f-952b-4b1f-b24e-714f86d29ffb · inbound

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent cites this paper.

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:49:57.652139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:19:19.253076Z digest=sha256:a4159414d7578d4621810c6b7ca4a3f58aa2f8729b9146ac5635cd9b982bdd74

Observation e3c87036-8e23-43a0-b70f-fd4adaf349ad · inbound

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System cites this paper.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T14:17:29.504094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:17:29.504094Z digest=sha256:1b40a7de29a17e3844226ac8b70d9604de4b8dc8597fc6f13709986142b854f9

Observation 0f9e1693-c7b3-451d-bf0c-b1f733313019 · inbound

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation cites this paper.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T02:23:46.019790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:23:46.019790Z digest=sha256:0c0c4b5f0f6ebe287a7cb00f384966b61f664523c3abafdb1274077b1421362e