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Paper Citation Record · LEDGER

Generation-Augmented Retrieval for Open-domain Question Answering

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.08553.

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

pith.paper-citation-record.v1
2009.08553 v4

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:37.753423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:11:43.050389Z

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 b7fac4ec-f7e5-4d10-9950-aee99386778d · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Generation-Augmented Retrieval for Open-domain Question Answering

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:12:57.707724Z

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.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:1302a800fb1c151557897932f9d203bbacaae782f2146a67ee514473b5411a83

Observation a2e69707-9ab9-451c-bdd3-f2d95d22d63d · inbound

From Local to Global: A Graph RAG Approach to Query-Focused Summarization cites this paper.

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Generation-Augmented Retrieval for Open-domain Question Answering

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:57.914829Z

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.

source=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:920005f528f4ff1e06387615b9c7707d9e708a29bd84760be4d699f182605430

Observation 09891e01-3abe-4f5e-a27f-b5a3ad1d8dcc · inbound

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment cites this paper.

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment Generation-Augmented Retrieval for Open-domain Question Answering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:37.753423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:37.753423Z digest=sha256:76dd391a2f904a837397cba73f3ae689d24f477ce03654f9056a9585c8f83e06

Observation cdd96798-a85b-4d8e-a8a1-a7d93ad0ed42 · inbound

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation cites this paper.

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation Generation-Augmented Retrieval for Open-domain Question Answering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:12.405825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:12.405825Z digest=sha256:9e8c6bc2c846befbb97881888e9157feffa8b4a3f31f33da00e62fb168884bee

Observation 40009412-2d33-4d3d-ac5f-83c69cdc9c28 · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Generation-Augmented Retrieval for Open-domain Question Answering

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:43.052869Z

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.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:a3a5dab30ba194a2238b0361600831f46779131f56d6b72ceedb384328a73651