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Paper Citation Record · LEDGER

Entities as Experts: Sparse Memory Access with Entity Supervision

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.07202.

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

pith.paper-citation-record.v1
2004.07202 v2

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 2026-08-08T19:28:43.425662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:48:43.277751Z

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 6c5dbbe9-9a09-46cc-8baa-a9e7bb3340a1 · inbound

How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:00:28.105955Z

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.

source=arxiv_source observed=2026-05-15T02:00:28.055865Z digest=sha256:75f5c3521431c0dcbe1e2b1179b3780bdd8209678ee1f30f1e6fb133c83b23de

Observation a4cce8c1-05b2-405e-946b-09d3c800dfc5 · inbound

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks cites this paper.

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:41:57.852121Z

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.

source=pdf_text observed=2026-05-10T20:41:57.545350Z digest=sha256:ff44dc2f9126b8872cd515e388ff06c2fd338467178b112d208a34f60b5d901d

Observation b98ae52a-5eef-45c9-8ac5-c8f5ed0891e9 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:21:17.260741Z

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.

source=arxiv_source observed=2026-05-12T13:21:16.921001Z digest=sha256:64791b71f90c073773f1edb98081e60f39eed12c78a87e786b675205be3a76d6

Observation fc42c936-a102-4c7e-afe9-d75bba62ebfb · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:48:43.279640Z

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.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:5c8a32404a8d5e9ce71c282a95c498693303398b585590c4a2e9c2d7058e7379

Observation 8763abe9-b4b2-4851-b077-692a257ca601 · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:43.425662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.425662Z digest=sha256:b60f8e3ba96f9d76555aded4c77d9266c8f4193c5e425d81d5dc3e0a6cc09d7c

Observation 76e91b80-167e-4a16-845d-b8fc796caf0e · inbound

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents cites this paper.

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T17:37:38.062307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:37:38.062307Z digest=sha256:3d1a3fcf44189bde29921c50cea41bf8522b4ba5ccdea536e135c11ab9434995

Observation 16874e68-f265-4254-b4cf-48e4ff28f391 · inbound

UniCoRN: Unified Commented Retrieval Network with LMMs cites this paper.

UniCoRN: Unified Commented Retrieval Network with LMMs Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T05:54:15.888711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:54:15.888711Z digest=sha256:744af67cfb33a819a6e7f36510b187128e5c3241e3dffc1603a4e1e341d6fd84

Observation ff390536-a28f-472a-8ca9-ad16af452294 · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:15:59.026865Z

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.

source=arxiv_source observed=2026-05-10T17:42:31.465077Z digest=sha256:2bc611e8a783a63941c4e1b66997ec768db5946293bdcbd99da4561e140f9685