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Paper Citation Record · LEDGER

Context Aware Query Rewriting for Text Rankers using LLM

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.16753.

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

pith.paper-citation-record.v1
2308.16753 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:32:52.323015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:35:52.639449Z

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 044feb76-5daa-4fa7-846a-d3d71d8b2ffc · inbound

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants cites this paper.

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants Context Aware Query Rewriting for Text Rankers using LLM

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T18:40:39.618021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:40:39.618021Z digest=sha256:67bd1bd96e8d7746b70cec8416df250fc9d3799e4d670919fde37ec4f7a5be8d

Observation 2fe4aa08-9a85-4c2d-a56b-f1532024f872 · inbound

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries cites this paper.

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries Context Aware Query Rewriting for Text Rankers using LLM

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:52.323015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:52.323015Z digest=sha256:2e2161c9d9bd4aca658cdc620d6f359a31b1e0432694b029d97652c023e1a864

Observation 28d19e4f-f1a1-43c8-aea0-5fd3f5980443 · inbound

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation cites this paper.

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation Context Aware Query Rewriting for Text Rankers using LLM

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:35.930652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:35.930652Z digest=sha256:6042ef2cf85261024586644377f53e0673b1f86c195b67ee67e8506358d1ce18

Observation a721e889-3875-4501-b049-462c02813a17 · inbound

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings cites this paper.

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings Context Aware Query Rewriting for Text Rankers using LLM

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:35:52.642983Z

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=2026-05-10T18:58:18.436603Z digest=sha256:b71ec5cbc0ecdcb20e2ab19c05f5ef4293c1cb590d1b0b436d0cb732e4d7d727

Observation 4b1bb29a-6e9b-4a5b-8d97-3c6b7da23ca2 · inbound

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs cites this paper.

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs Context Aware Query Rewriting for Text Rankers using LLM

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:06:19.066303Z

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=2026-05-10T06:03:01.460352Z digest=sha256:8dc6342bc02fe7bb1964b9af9495f7df27faef69ba8bd1f1ea85a7e3a9e08e55