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Paper Citation Record · LEDGER

Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.10825.

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

pith.paper-citation-record.v1
2401.10825 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:05:57.470734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.934509Z

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 6b2891aa-822d-4751-a5b3-6aad17c5a101 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 199

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.409191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c9a5745a792c1c112bde5838d1f5dd264c5d78d17ba8ca2bcf64bd60d0f03be3

Observation 8a919926-ce81-4975-a866-5df75cc02b46 · inbound

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach cites this paper.

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T12:05:57.470734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:05:57.470734Z digest=sha256:224796c422715c62bc98f89c59012a9f6ef4fa55fcb90c55c01eaad5493f9f34

Observation f7d8b50e-7545-44b4-b6d0-628bbcbe638f · inbound

From Instructions to ODRL Usage Policies: An Ontology Guided Approach cites this paper.

From Instructions to ODRL Usage Policies: An Ontology Guided Approach Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:10:24.667495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:24.667495Z digest=sha256:93caab348206942bb5a3a9ec5f3ce110f28035ec9ca629420a69a1520cac9e56

Observation 08042756-9c80-414e-9816-97d60a358ac8 · inbound

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset cites this paper.

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T15:49:40.049992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:49:40.049992Z digest=sha256:d49864a31c294507b533ab24050c4d4a78b0fe948cd0143453ce044e39516da5

Observation f2cac5aa-822a-4af2-a58b-1eaf8d31e3dd · inbound

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models cites this paper.

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:32:33.977415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:31:36.556121Z digest=sha256:3948ee8c4695581515b04d33fbd95b2035d9cee7df148e5454e6d436dd301749

Observation 5556a692-3e71-4167-a7b3-cfe7e84cfd67 · inbound

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER cites this paper.

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:15:50.035441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:15:08.347681Z digest=sha256:35305c6ff22ae487884a6f13da0ab60600687ca71aa4ce1f4f0f593abe7294d5

Observation cf93ad95-5250-4981-8aef-7ce3f78731cd · inbound

A Mechanism and Optimization Study on the Impact of Information Density on User-Generated Content Named Entity Recognition cites this paper.

A Mechanism and Optimization Study on the Impact of Information Density on User-Generated Content Named Entity Recognition Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:29:21.912067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T03:26:33.474843Z digest=sha256:97e507866063c723391787894c92edf9ce4d1541ed28776e2089ab78b9e3036f

Observation 3299f591-dc1d-4b63-be2a-68b520d56a8f · inbound

Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains cites this paper.

Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:23:12.074844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:21:00.882064Z digest=sha256:1c4a08d65262ac5995778e482b886d8e416ec6af1d64d6508a3b8f8b8a42b8f0

Observation dd10522b-f304-4184-abae-dd8555afdf79 · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:55:34.930182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T08:49:28.538659Z digest=sha256:a966a96cb2127d7146540b438b6549f96f3209bf62706111cd022413dc0c2dff

Observation ddf89f40-9005-4a57-977a-58a9561c3aad · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 119

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:59:58.936296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T00:00:16.588823Z digest=sha256:3ad76f783b93ab81bc18bc59cfc5facb019870d96a783bf982d127366966cc4a

Observation 468a8817-0f89-4cd1-8c42-df2fefd78252 · inbound

Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI cites this paper.

Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T03:52:42.176088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:52:42.176088Z digest=sha256:948d88becbbd3accc2ec25af3d80f14c5e596dea78b67d8846aad45c23b7b49f

Observation b1798006-0cf3-4983-b694-942864fc2520 · inbound

DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation cites this paper.

DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T03:11:53.857863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T03:11:53.857863Z digest=sha256:0035f554336629e22b19c85806ec7c4cdd825a991063be4dd78b93ffd4f80bc1