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Paper Citation Record · LEDGER

PromptBERT: Improving BERT Sentence Embeddings with Prompts

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2201.04337.

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

pith.paper-citation-record.v1
2201.04337 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:23:23.803813Z

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

12
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 50732ffa-d51a-4292-8258-0fe65b86cc44 · inbound

Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings cites this paper.

Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:14:16.103289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-24T09:11:37.220487Z digest=sha256:04332304f5f9e0b37b0c6c51ca489216f9b7eadd09b745e700bf9630126028f2

Observation 00f5ca52-2799-41e9-ac6f-fb34e83a3849 · inbound

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

E5-V: Universal Embeddings with Multimodal Large Language Models PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:52:20.970577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T22:52:20.935555Z digest=sha256:4608c944642bd3708212d1e230f0950900732a1b7f9e4115e5c8cadaecb09958

Observation ea88a59e-6aea-4f68-8a48-a05c073e2db3 · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T13:59:01.654886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:59:01.654886Z digest=sha256:c7b922c5932fb81131d42e49cc505fb054c92b9d5622d48f9a32859d3a057aee

Observation 832143da-61ed-4899-a8a9-6e39716cb9b8 · inbound

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion cites this paper.

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:23:23.803813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:23:23.803813Z digest=sha256:ab823d55b9f39ecc527cd351e894ed55fe6d6dc50ca68a3be18962e62a132c60

Observation bd3d8140-c75d-484e-af5a-5abb07342c00 · inbound

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval cites this paper.

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:51:46.496764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:46:40.040113Z digest=sha256:b1d49692fc79b04d6d4cd11238e2c0936038156074710e34930648f57c11593a

Observation 6acf8c1a-474e-48ae-b048-56a87964b348 · inbound

Paraphrase-Induced Output-Mode Collapse: When LLMs Break Character Under Semantically Equivalent Inputs cites this paper.

Paraphrase-Induced Output-Mode Collapse: When LLMs Break Character Under Semantically Equivalent Inputs PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:07.287082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T16:26:54.068997Z digest=sha256:fe8c683498d3beaba4d4cd5474d563381abeda981744eba4d90b389c1bbf2e30

Observation 4747c530-cad7-4e94-ac93-d868e3a87b39 · inbound

Paraphrase-Induced Output-Mode Collapse: When LLMs Break Character Under Semantically Equivalent Inputs cites this paper.

Paraphrase-Induced Output-Mode Collapse: When LLMs Break Character Under Semantically Equivalent Inputs PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:16:16.104196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:13:48.672711Z digest=sha256:bc6931b74f1f24f13f89e6c2bce77d5df57d7958e23571d4fe1e014076b9f82c