Paper Citation Record · LEDGER

Language Models are Universal Embedders

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.08232.

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

pith.paper-citation-record.v1
2310.08232 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:01.889809Z

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

2
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 d2a476cd-ade0-43e7-94d6-2761c7ac8f63 · inbound

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

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning Language Models are Universal Embedders

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:33:53.645931Z

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 b8d4e2f2-f7fe-49f0-8aba-ce439538dab1 · inbound

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing cites this paper.

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing Language Models are Universal Embedders

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:01.889809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0278ade8-7992-4456-aca6-2b4ac33e8f70 · inbound

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training cites this paper.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Language Models are Universal Embedders

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.530957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee9f992-0319-452f-9318-4926fb7c705f · 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 Language Models are Universal Embedders

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:33.823315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d764506-9809-4df9-b08c-d063559ac7a6 · 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 Language Models are Universal Embedders

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:21:59.269987Z

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 15701eec-a68a-4602-bb80-7ceeb2824b31 · inbound

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future cites this paper.

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future Language Models are Universal Embedders

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:49.731775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d59568-163a-4516-baa9-9ed13413b0fa · 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 Language Models are Universal Embedders

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:16:26.851241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bdb5ebd-9b76-4ef6-880b-4620ec3a7171 · 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 Language Models are Universal Embedders

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:46:14.936176Z

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.