Paper Citation Record · LEDGER

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2108.05540.

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

pith.paper-citation-record.v1
2108.05540 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:12.395040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:48:43.334305Z

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 bca6b2a3-ad25-4a5a-a23a-330f7d57c280 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 130

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:21:17.095472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8084fd80-a5d0-41a5-b4ff-31aef9604128 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:48:43.336170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6135469-deaf-4b7c-9aca-f4d18c221f27 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:17.524374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65711ecc-2c43-412e-9538-bb1aa19c258f · inbound

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval cites this paper.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:12.395040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69846dd-feca-4dde-ab63-07119f76bba8 · inbound

HyReC: Exploring Hybrid-based Retriever for Chinese cites this paper.

HyReC: Exploring Hybrid-based Retriever for Chinese Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:06.681253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c7b57b-d74a-4610-9f84-f424b208868e · inbound

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models cites this paper.

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:43.179010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1b0bb5-1ece-43d3-bc62-2da0b30ac764 · inbound

A Comparative Study of Specialized LLMs as Dense Retrievers cites this paper.

A Comparative Study of Specialized LLMs as Dense Retrievers Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:17.490750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955e287e-8d2a-4588-a88a-e9fe57c7049f · inbound

Mutual Linearity in and out of Stationarity for Markov Jump Processes: A Trajectory-Based Approach cites this paper.

Mutual Linearity in and out of Stationarity for Markov Jump Processes: A Trajectory-Based Approach Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T09:07:18.453118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d808dcc1-b86d-4233-bdfa-49fd0e1febdc · inbound

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers cites this paper.

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:41:04.997193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e9606bc-f79f-4cb2-8b44-c9687f62dccc · inbound

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval cites this paper.

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:06:16.057767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.