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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=sha256:15d188dea97635104c00c1fdc018d28f6d4268e5076900d5a612f34c223e2d13

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:c526c1807b123c7f232f2c2ac8277462cfb0b5ccca13b8a50386c43d6bc8c41c

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:c463312813cfc7cf713532c51d213d5279acc623814c5274a3f6447c139657fb

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=sha256:852ce19ab64d7fa1d280d49a04630924080f26b73802b52dd5ac0200563bbd7d

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:dd4454757519ade26b2133afd98f983978584335bea94b007b500fdb71e6e13e

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:c4dac924a02c4ba033e79c61aad2b487c3b49e33fb0e2791b80307eaa43cbbd1

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:fe47cb0c90071696ad70d2335dbbeb3f6c495b2818f3912ad35646dadf9d6815

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=sha256:864f8b310e25f51659fd2f11240c74c44c271d274d5397c2e3c528bad1d26458