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Paper Citation Record · LEDGER

Dense X Retrieval: What Retrieval Granularity Should We Use?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.06648.

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

pith.paper-citation-record.v1
2312.06648 v3

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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:12.941088Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8d4e19bc-325b-46cb-99f6-6fe2cd027ac8 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.456862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:679bf29787439b9b1a79f79d28f5a34808702844362f8aa30de7e0bc7121c247

Observation 33b43eab-e7aa-4d42-add1-e7190fbcd4ad · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:57.144189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:7f416ef304ff7097e6ba75144e4c042d7786985e9ed711b479df04b77034ea79

Observation c1d07b14-8ee4-4a4d-92db-6a71ad165d7a · inbound

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory cites this paper.

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:05.345582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T16:41:03.980064Z digest=sha256:463a6dad5de6edda7e0dae0ae2bd26cb1d44014717b6aa03a2215d19df48f81d

Observation 33b9b32f-41ca-404a-9f80-a5be94a20610 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:12.941088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:12.941088Z digest=sha256:88a694a6773d9d4748320170572883c3b20a600f9b621a886c4f315fa9635aac

Observation 5f189ca3-c13f-4bbb-9cf8-c5f33ab8b741 · inbound

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach cites this paper.

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:32.877391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:18:32.877391Z digest=sha256:dd16ec108915dc3244be394fec31ebb62c8f096aaa0c72558d0c28e2f5586ead

Observation f518a806-6568-421f-9ace-a32908bc594f · inbound

AITEE -- Agentic Tutor for Electrical Engineering cites this paper.

AITEE -- Agentic Tutor for Electrical Engineering Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:47:35.949769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:47:35.949769Z digest=sha256:091f86496969e2a29aa3bd849eaa93285a0efedcba16f09b3524a3273eae7cb6

Observation aa5960a5-3cca-4d96-9e1d-6219d6cf4abc · inbound

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection cites this paper.

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:12.645904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:12.645904Z digest=sha256:5414e535eee672a6c8d416c75876b55f91b37b221764312b0bfc835a6b98f2f8

Observation 57160099-661d-47e8-9ec2-919c3f250166 · inbound

SemChunk-C: Semantic Segmentation for C Code cites this paper.

SemChunk-C: Semantic Segmentation for C Code Dense X Retrieval: What Retrieval Granularity Should We Use?

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:55:45.541889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T22:36:19.807806Z digest=sha256:7e5c9fbf658dfdd6d6d2754a0715205bfda2c6f24a01b396ee05f67d11b3ecde