Paper Citation Record · LEDGER

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 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 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:46:41.722624Z

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
parse uncertain0
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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

Observation b7d7b3c0-d56c-461e-bec8-09791e9b380f · inbound

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts cites this paper.

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T13:46:41.722624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be6ae3b-8bde-47ae-8215-b5ce395b94f2 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.330701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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.

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.

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.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.

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.