Paper Citation Record · LEDGER

From Matching to Generation: A Survey on Generative Information Retrieval

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.14851.

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

pith.paper-citation-record.v1
2404.14851 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:15.462938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:03.264648Z

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 ac90b7b8-2cf1-42c1-9948-20f2a091053c · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models From Matching to Generation: A Survey on Generative Information Retrieval

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:36:27.560780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5bb98a75-65c3-4acb-b29b-0da97f5788cc · inbound

Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models cites this paper.

Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models From Matching to Generation: A Survey on Generative Information Retrieval

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:15.462938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b1e42f-f543-4c73-8681-dd27441512fc · inbound

Generating Long Semantic IDs in Parallel for Recommendation cites this paper.

Generating Long Semantic IDs in Parallel for Recommendation From Matching to Generation: A Survey on Generative Information Retrieval

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:54.166881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f3416b-1b0f-40b0-80c7-adfe0e35c225 · inbound

On the Merits of LLM-Based Corpus Enrichment cites this paper.

On the Merits of LLM-Based Corpus Enrichment From Matching to Generation: A Survey on Generative Information Retrieval

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:36.108790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a298787-e643-4b26-9dbb-44ad3a01906d · inbound

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval cites this paper.

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval From Matching to Generation: A Survey on Generative Information Retrieval

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:18.773662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c68de433-937b-4d50-95da-59207f5fc3fd · inbound

DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation cites this paper.

DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation From Matching to Generation: A Survey on Generative Information Retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:31.295736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11b306c-be5d-4696-b6ba-129a58db6565 · inbound

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

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval From Matching to Generation: A Survey on Generative Information Retrieval

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:19:03.267438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 660acb6a-f104-40e2-92fa-e2053e018723 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration From Matching to Generation: A Survey on Generative Information Retrieval

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T23:46:19.417848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.