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Paper Citation Record · LEDGER

A Survey of Generative Information Retrieval

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.01197.

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

pith.paper-citation-record.v1
2406.01197 v2

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 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:16:26.852350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:03.295595Z

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 b2ac17cc-2784-42cd-984a-1e493cbe1f3c · inbound

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases cites this paper.

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases A Survey of Generative Information Retrieval

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T16:16:26.852350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:16:26.852350Z digest=sha256:d4de2bda764aba188ddd4cdd900fc5dc2115d5ae860cc59c66775ad59ef14c87

Observation 6eeeece6-d6f1-43a6-a61b-78e47a138c6e · inbound

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL cites this paper.

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL A Survey of Generative Information Retrieval

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:18:31.080194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T02:16:25.272764Z digest=sha256:03bcea81dc40d0ac154eb665be2f88350bbc7739ac31de2765fbf510988847f0

Observation 850167f7-1f7c-42dc-aa26-3f51e9d40b10 · inbound

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce cites this paper.

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce A Survey of Generative Information Retrieval

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.256763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T20:50:16.765453Z digest=sha256:2a8a691f5c1400f4aa08cf70b467df01def3b79f498a4427dd42836f096eea43

Observation c74b406f-81a6-4479-b047-b0147b88be4e · inbound

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval cites this paper.

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval A Survey of Generative Information Retrieval

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:03.297917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:90ee17d35ce70882bb5da5cf8ecde78203ab478e1bb0b775bfae9a2e8d85a236

Observation a72b553f-1f2f-484f-8e4f-2dafcb0d6002 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models A Survey of Generative Information Retrieval

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T12:15:44.778397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:15:44.778397Z digest=sha256:de90a3a3f2270f594b2a2df6c34066fc7a196adbebd5fff33d943c0ad4a9d4ef