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Paper Citation Record · LEDGER

LLMs are Also Effective Embedding Models: An In-depth Overview

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2412.12591.

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

pith.paper-citation-record.v1
2412.12591 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:34.200504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.922822Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 fa551bb9-7867-4199-ad58-9ae14451bbc4 · inbound

CoRet: Improved Retriever for Code Editing cites this paper.

CoRet: Improved Retriever for Code Editing LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:34.200504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:34.200504Z digest=sha256:7d023f870a37d362bec727ad767e5523206b9071dc0d283a5558eeb2d08d1e3a

Observation fd0891da-5793-4f30-85ca-cfd77f75014d · inbound

LLM-BT-Terms: Back-Translation as a Framework for Terminology Standardization and Dynamic Semantic Embedding cites this paper.

LLM-BT-Terms: Back-Translation as a Framework for Terminology Standardization and Dynamic Semantic Embedding LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:43.068547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:43.068547Z digest=sha256:da2b648b62aa9c122e19e063560f9ee4504e1fb5662e129f017a8079ec95e868

Observation d9188b5c-73c5-433e-ad33-23f967423673 · inbound

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards cites this paper.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.002338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.002338Z digest=sha256:301eed1f6c562c932426d615e6ae3d4209de8bbbd8143698384ceffd10693e5d

Observation 0f48c6ee-e1ac-4bc2-a596-cb8bbf881607 · inbound

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

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:06:18.861816Z

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.

source=pdf_text observed=2026-05-10T06:03:50.054105Z digest=sha256:6bd628b62f23d50cfd6ed1aad8fdec3c6142fbf92a51a4564e85838d1ba893bc

Observation 00f47e6d-bc09-4e2d-b299-3ee0ca705393 · inbound

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining cites this paper.

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:12.427382Z

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.

source=arxiv_source observed=2026-05-08T03:35:44.435355Z digest=sha256:a8e3330d2729c71b7797310a6084de1f4232f763b93a3b06bc80c7e2c77d5034

Observation b096a893-a7c3-47e0-a474-963b5432a781 · inbound

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles cites this paper.

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:45:55.361017Z

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.

source=arxiv_source observed=2026-05-11T03:41:21.506458Z digest=sha256:0d44cbfcef41dfffa745cc873a9b0485c8e666326a021fb38e02d15db8e1f393

Observation f2e5d0f5-5471-49db-8328-91c0c4e4ecad · inbound

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization cites this paper.

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:28.880514Z

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.

source=pdf_text observed=2026-05-12T03:33:45.192139Z digest=sha256:5e8f89fe5606a7380788e71f1d0174eaf20d18ec3283da982490183e39e5e4f5

Observation cfac06dd-063c-4a73-8251-542918f22a6a · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:13:15.127617Z

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.

source=pdf_text observed=2026-06-29T08:09:41.068000Z digest=sha256:a95438034b00b6112167dfb7551d5209d203d8ecb45b7f4ec85c756ec713843a

Observation 77f04de6-8f87-403d-ac73-cf283af6eb82 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:08.924398Z

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.

source=pdf_text observed=2026-06-25T20:48:30.687676Z digest=sha256:3cd65d71e0b7987e2cdb2a2549c3a2699e49a069f30256184d05b8c7335de16e

Observation 2c2322bf-3fb9-4b04-ae53-aa4ad3b82e43 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T10:15:53.849105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:15:53.849105Z digest=sha256:fee98661a8c2e4257913e7483fea7ff5bc961a074374add5030621515aeab893

Observation 06391bce-c2e5-41a6-bfe0-cc22b9860628 · inbound

CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising cites this paper.

CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T13:43:40.636911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T13:43:40.636911Z digest=sha256:018b13ca8aa089492f3e83621a02dbe9877e3a28f518c055a1cec9b53a1aaa7d

Observation 9d07659d-4420-4694-b30e-80d5489f5a05 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-04T07:49:39.946821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.946821Z digest=sha256:dbb32e6331e4d28c9b3ca91f79a0fdcbc162fac4ab63c0b45be73064f93bb968