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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:29.542231Z

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 771ee58a-1489-46df-9b66-39d4a1fb5064 · inbound

Shifting NER into High Gear: The Auto-AdvER Approach cites this paper.

Shifting NER into High Gear: The Auto-AdvER Approach Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:25.658604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:25.658604Z digest=sha256:515ef4d5692131def7bedd221cf276de86f2f63101e500ebb63499a6c378d1ef

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:42790f6a239f5b38141b9973bf56da5957edb667d092a67d36fe3af4ccbb769f

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=sha256:499e01956b1e1b765b9929c7f8203f86a45ab686fb5b7e948a8fd6a7ce72bcd0

Observation c75c872d-3ee9-4ca1-8a2c-b299f36b3fd5 · inbound

Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments cites this paper.

Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:29.542231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:29.542231Z digest=sha256:8733a675f784450c527f0dfe2cc21d44050f4d21e60663028c17ec9ab3209748

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:e0cc4c6460e879ed6e588e154475d5f2b8700296263127628e3fdfac41b5ad6e

Observation f03d28e7-3c47-481c-9fb5-640514591124 · inbound

Effective Multi-Task Learning for Biomedical Named Entity Recognition cites this paper.

Effective Multi-Task Learning for Biomedical Named Entity Recognition Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T18:16:18.123762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:16:18.123762Z digest=sha256:1c2e3bc06a609125babeb968c017adab3bad6701d5f7b8eba6b63646a443c338

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:f9ca6bc844729ed4e7246f6058d27b3ea0f6126627c845f2ee28d5aef94197b5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T10:31:36.556121Z digest=sha256:e9d6d4c45c08d288967b4355aa57b268c7f26c27cbb82ac78c84744195c17e96

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:15:08.347681Z digest=sha256:41265d0a91ee7b06e6fd0ce48c97adb79a980cb4b2f3e20303910bd7143c7194

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T03:26:33.474843Z digest=sha256:afd48215ee6dadb4e14c642203d3ef9b7c5c123d5b5c712cf5a097f2fdc68366

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T10:21:00.882064Z digest=sha256:f5e9884a00055c94eeb900a7a65a97e00bf0f74e8213bd8a62ec4dd046e19354

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T08:49:28.538659Z digest=sha256:f372e2f1448657286120c0ca97036d6dbb2609de0a4f596c3ddaf9b2847077c8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T00:00:16.588823Z digest=sha256:33a6febe1d4a8a4e6fdd6b2af3cf8012bee970c0b70f558bcec39e0783cd1473

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=sha256:2f3675afcc6d66b3e910ea5aee27e5873e431a7c2bca5f772ef9e256e8faeeb5

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=sha256:8c63d169e1072447fc1e2c2d266e179306cc5559b33a5c827f86090e68b1b88f