Paper Citation Record · LEDGER

SGPT: GPT Sentence Embeddings for Semantic Search

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2202.08904.

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

pith.paper-citation-record.v1
2202.08904 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:12.708792Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.947700Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 34966529-0331-4e3e-beb2-7ed4c2504adf · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model SGPT: GPT Sentence Embeddings for Semantic Search

Reference 285

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:51:11.651426Z

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.

Observation 96d92214-4d66-4394-80ea-56d9ecc53c45 · inbound

Text Embeddings by Weakly-Supervised Contrastive Pre-training cites this paper.

Text Embeddings by Weakly-Supervised Contrastive Pre-training SGPT: GPT Sentence Embeddings for Semantic Search

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:54:03.911556Z

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

Observation 5bed0fca-3592-4485-9978-0aaa009533d4 · inbound

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

REPLUG: Retrieval-Augmented Black-Box Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 210

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:41:54.074982Z

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

Observation 86256686-d8c4-4294-8155-b75338026e81 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.291905Z

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

Observation 71154c46-f252-4385-9a5e-2a25c0133e28 · inbound

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

C-Pack: Packed Resources For General Chinese Embeddings SGPT: GPT Sentence Embeddings for Semantic Search

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:24:32.237268Z

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.

Observation 63450b7d-c7f6-4347-aaf9-756605d137df · inbound

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning cites this paper.

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning SGPT: GPT Sentence Embeddings for Semantic Search

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:33:53.938592Z

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.

Observation 08741de0-3022-4f57-9dcf-09803bdd259b · inbound

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation cites this paper.

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation SGPT: GPT Sentence Embeddings for Semantic Search

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:39:03.394178Z

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.

Observation 0aee197b-7a0b-4af3-855f-7a6cb7f46256 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:15:55.525831Z

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.

Observation aa1c4960-6447-4ac5-86cb-1bb3655fda06 · inbound

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

E5-V: Universal Embeddings with Multimodal Large Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:52:20.985589Z

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.

Observation 5e9c58fc-4b2d-4836-a973-706a81912c66 · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:42:12.072713Z

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.

Observation b36cc0c2-9875-4336-8945-83407a0d679e · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents SGPT: GPT Sentence Embeddings for Semantic Search

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:37:25.918229Z

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.

Observation 26bfd8fb-7f95-4ff1-ad71-76ea354e4c32 · inbound

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations SGPT: GPT Sentence Embeddings for Semantic Search

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:12.708792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff85913-1a16-4146-9d7a-ade1bfca5968 · inbound

How Programming Concepts and Neurons Are Shared in Code Language Models cites this paper.

How Programming Concepts and Neurons Are Shared in Code Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:18.715900Z

Source-reported events for the cited work

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Observation 3660d1ea-cc2f-4db8-b680-ee3624f9cfcd · inbound

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings cites this paper.

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings SGPT: GPT Sentence Embeddings for Semantic Search

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:14.117542Z

Source-reported events for the cited work

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Observation 42c06864-583b-4db2-b520-27bbe4b053a3 · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning SGPT: GPT Sentence Embeddings for Semantic Search

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:26.603511Z

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Observation 44e5e7e5-209f-4799-a32c-15fde8f20cb3 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation SGPT: GPT Sentence Embeddings for Semantic Search

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:45.996887Z

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Observation 0094b706-ad47-4201-8aaf-3f26712c8e47 · inbound

DeepRTL2: A Versatile Model for RTL-Related Tasks cites this paper.

DeepRTL2: A Versatile Model for RTL-Related Tasks SGPT: GPT Sentence Embeddings for Semantic Search

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:31.986084Z

Source-reported events for the cited work

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Observation eb9de2b0-092b-4538-83b6-4449d216415e · inbound

Should We Still Pretrain Encoders with Masked Language Modeling? cites this paper.

Should We Still Pretrain Encoders with Masked Language Modeling? SGPT: GPT Sentence Embeddings for Semantic Search

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:32:07.676641Z

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.

Observation 27301393-2fec-4210-81ed-03f4032aba43 · inbound

From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment cites this paper.

From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment SGPT: GPT Sentence Embeddings for Semantic Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:50:39.050730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ee6d93-c473-4458-95bf-c8f144b46676 · inbound

Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token cites this paper.

Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token SGPT: GPT Sentence Embeddings for Semantic Search

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:21:59.315206Z

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.

Observation 03998d73-bf24-4c42-ad87-6b7fd8de203c · 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 SGPT: GPT Sentence Embeddings for Semantic Search

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T19:49:50.951796Z

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Unavailable: canonical work link unavailable.

Observation 09b06ec1-b377-411c-9d67-8738e05ed4f7 · inbound

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings cites this paper.

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings SGPT: GPT Sentence Embeddings for Semantic Search

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T13:16:26.789418Z

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Observation b49bf0eb-1a14-403a-803a-80f3b37c37b2 · inbound

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models cites this paper.

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:14:15.051689Z

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Unavailable: canonical work link unavailable.

Observation 5e28398d-e475-4374-a303-2403924068b6 · inbound

LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection cites this paper.

LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection SGPT: GPT Sentence Embeddings for Semantic Search

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:41.675399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a829270-bbc4-4955-a012-17ee07d520ee · inbound

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

Search-R3: Unifying Reasoning and Embedding in Large Language Models SGPT: GPT Sentence Embeddings for Semantic Search

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:26:10.566813Z

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.

Observation 56116c35-93b5-462d-8ad4-e1e0976d4825 · inbound

LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States cites this paper.

LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States SGPT: GPT Sentence Embeddings for Semantic Search

Reference 5

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Observation ec196aff-ff46-499c-abbd-f2c52427b0db · inbound

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) cites this paper.

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) SGPT: GPT Sentence Embeddings for Semantic Search

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T23:11:03.451302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5360ccf-3754-4242-9372-edd5320bf599 · inbound

BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels cites this paper.

BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels SGPT: GPT Sentence Embeddings for Semantic Search

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:33:41.558106Z

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.

Observation 18929184-55eb-40aa-bc6e-38746a239af8 · inbound

BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels cites this paper.

BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels SGPT: GPT Sentence Embeddings for Semantic Search

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T16:11:35.631613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30d1204-6f33-4de6-abb4-d10ff8a261c3 · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA SGPT: GPT Sentence Embeddings for Semantic Search

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:12.003438Z

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.

Observation fa8c8b96-8dd2-4fde-b42e-f68a02249ae5 · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA SGPT: GPT Sentence Embeddings for Semantic Search

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:18:00.282744Z

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.

Observation 64bf5e0c-5c99-4483-a0b8-305cba44e054 · inbound

Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders cites this paper.

Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders SGPT: GPT Sentence Embeddings for Semantic Search

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:14.740168Z

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.

Observation 54b1174e-811b-485a-887f-7925e2421203 · inbound

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding cites this paper.

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding SGPT: GPT Sentence Embeddings for Semantic Search

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.658045Z

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.

Observation 00faba44-53ac-4273-8b60-ce4f0a780180 · inbound

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method cites this paper.

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method SGPT: GPT Sentence Embeddings for Semantic Search

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:09:20.381554Z

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.

Observation e4295039-51c2-4734-a93d-2203139fb1be · inbound

DeSQ: Decomposition-based SPARQL Query Generation cites this paper.

DeSQ: Decomposition-based SPARQL Query Generation SGPT: GPT Sentence Embeddings for Semantic Search

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:09.122993Z

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.

Observation bb16ae91-7986-4275-a798-34e4e225a903 · inbound

ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs cites this paper.

ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs SGPT: GPT Sentence Embeddings for Semantic Search

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:56:57.170057Z

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.

Observation 3072619f-77d0-402a-8740-49e461e8bb15 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings SGPT: GPT Sentence Embeddings for Semantic Search

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.951461Z

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.

Observation 6a1a9e08-cdc5-497c-a720-c28ca48dea16 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings SGPT: GPT Sentence Embeddings for Semantic Search

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T10:15:53.815736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04495888-35ad-4922-9dc7-14702b88c2b2 · inbound

Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework cites this paper.

Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework SGPT: GPT Sentence Embeddings for Semantic Search

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T20:41:36.268379Z

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Unavailable: canonical work link unavailable.

Observation 7a355d62-32de-4570-bfa0-7f564b1602e2 · inbound

IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment cites this paper.

IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment SGPT: GPT Sentence Embeddings for Semantic Search

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T02:03:23.576130Z

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Unavailable: canonical work link unavailable.

Observation ba5f6f2b-5be3-4be2-85c7-3975fa48852a · 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 SGPT: GPT Sentence Embeddings for Semantic Search

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.867194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3043d76c-4a3e-4599-a457-a4ead1993035 · inbound

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? cites this paper.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? SGPT: GPT Sentence Embeddings for Semantic Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.567654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.