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Paper Citation Record · LEDGER

Text Classification via Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2305.08377.

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

pith.paper-citation-record.v1
2305.08377 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:07:10.050473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:43:32.875577Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 0c95ae08-ff7b-4d5d-b8e3-4b830f9ba697 · inbound

A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports cites this paper.

A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports Text Classification via Large Language Models

Reference 44

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no resolver link, observed 2026-08-12T12:55:23.221681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:55:23.221681Z digest=sha256:7b5831c47d2201b3ce6d911c19c4208b7ec75ee12e4e6a3b06404221fd86270f

Observation 20d3566e-b6dd-4d5e-a74a-18e020809d63 · inbound

Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study cites this paper.

Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study Text Classification via Large Language Models

Reference 9

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no resolver link, observed 2026-08-12T11:05:09.496369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.496369Z digest=sha256:b2aac92159bef3be77e98c681286acb8010374a8a1cf5acea69c675a7f9928a4

Observation accfac7e-f894-4b0c-a0f7-60b9c4bbb8f6 · inbound

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge cites this paper.

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge Text Classification via Large Language Models

Reference 46

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no resolver link, observed 2026-08-12T04:29:18.168864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:29:18.168864Z digest=sha256:26564f0aef49489165e5d6ea743ea000eb4cd6fb42bf239f49c9c4582521a898

Observation 7a897839-a17d-4848-ba5b-39d4ebb143d4 · inbound

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning cites this paper.

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning Text Classification via Large Language Models

Reference 22

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no resolver link, observed 2026-08-11T17:48:13.361048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:13.361048Z digest=sha256:efa0c2bdee2130ea9d0b07f3669eefca8d4e74eaaef67b6410a0d9fa30c8e72a

Observation 168f1969-34a4-4d8a-a4db-71be3b79ad0a · inbound

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation cites this paper.

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation Text Classification via Large Language Models

Reference 31

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no resolver link, observed 2026-08-11T16:40:24.114541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:40:24.114541Z digest=sha256:199b329773ad9bc355821ae5b524b7f0759d26448f643c3ae4e92c60d4ff3566

Observation ee4243a0-52c6-4e30-819d-106eb1a3e2cc · inbound

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification cites this paper.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Text Classification via Large Language Models

Reference 13

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no resolver link, observed 2026-08-11T10:34:53.367830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:34:53.367830Z digest=sha256:409e9cb32e56273f4d4a0c15cf7c8bd966f088a0e2dde42e33a5029a12443c97

Observation 9780f09e-5dbf-423e-8083-e3ef2bd3f479 · inbound

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support cites this paper.

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support Text Classification via Large Language Models

Reference 45

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no resolver link, observed 2026-08-10T23:41:51.533899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:41:51.533899Z digest=sha256:552cee6cd8a0a8c7ebad460dbc5b9f6894b2298169e79a7e7d3a504ea24af06b

Observation fc09528c-8e62-4db1-ac74-33dc70a9062c · inbound

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification cites this paper.

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification Text Classification via Large Language Models

Reference 32

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no resolver link, observed 2026-08-10T15:50:40.143461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:50:40.143461Z digest=sha256:df6b75aab7f174546588bf7f7e0b72def97c2018c676990cf361e05eb856a5be

Observation 12d682aa-9696-4c17-bd0d-e2fa534712fc · inbound

Exploring the Potential of Large Language Models to Simulate Personality cites this paper.

Exploring the Potential of Large Language Models to Simulate Personality Text Classification via Large Language Models

Reference 23

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unresolved
no resolver link, observed 2026-08-08T05:49:27.835521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:49:27.835521Z digest=sha256:a40c9e6d06874488d641997f1c6269fdf63fc646108d6c121ce4d8075b50369d

Observation 2330883f-1375-431b-ad48-c91e30597435 · inbound

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting cites this paper.

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting Text Classification via Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T10:07:10.050473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:07:10.050473Z digest=sha256:739d8ac0ac182ca931fe7cbb190dad8b6799e2793fb0c15a10762a06aa132b9f

Observation 87ff4ac3-5293-4353-9ca5-e731628e32a2 · inbound

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets cites this paper.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Text Classification via Large Language Models

Reference 29

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no resolver link, observed 2026-08-16T05:43:55.271515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:43:55.271515Z digest=sha256:f4501b9d3f6501eee1c76e90820e105b2a5f46906ba53b8c6e83675bb01c79b6

Observation c6fb4e46-4178-4a87-84c2-dcbe9093d8ba · inbound

In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification cites this paper.

In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification Text Classification via Large Language Models

Reference 28

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no resolver link, observed 2026-08-16T05:09:11.077717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:09:11.077717Z digest=sha256:e8dacd1e95b32fea9a98db7f9659c8ab743df4d6f3b5c965f41d08c81c8c567c

Observation 6875d0ee-2f5a-41e4-a4c4-65e207abcc1f · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Text Classification via Large Language Models

Reference 44

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unresolved
no resolver link, observed 2026-08-07T14:52:30.375712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:30.375712Z digest=sha256:f7d57d8c968d88dbfe69ce02c3cb232799ac4dfd89c203d6bc9a7055d3ab75e5

Observation 45b2d580-965c-44f0-834c-c603bc2f61b0 · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models Text Classification via Large Language Models

Reference 33

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unresolved
no resolver link, observed 2026-08-06T18:14:06.368007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:14:06.368007Z digest=sha256:887b04efa61a98aeeb79fe4b39a82b36f659bb1542bf7c758e06047db18cad86

Observation 5c22b0ff-da08-49cf-ba32-4440e293b21b · inbound

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks cites this paper.

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks Text Classification via Large Language Models

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-20T15:13:24.951372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T15:11:27.420642Z digest=sha256:06a388bd47f7195f061620114959c0dacacb7192af5bb303d15bc24d2db243f8

Observation e12a4e64-2f08-410c-aa7c-dda84ae53760 · inbound

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction cites this paper.

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction Text Classification via Large Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-21T01:03:52.806058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T01:03:13.602009Z digest=sha256:5ad00a25809a386f323e46b1e9d990047e8ab203abaccfd1079efc2d1661ef1f

Observation 11e17a00-a6b5-4b35-8a83-e12031cf98b9 · inbound

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry cites this paper.

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry Text Classification via Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:43:32.877162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T15:30:05.533548Z digest=sha256:a221cf52740daf74786b36e557870b5f53d8e3311ee7c5b80f22c40b22cd6803

Observation 8498d679-45c7-41b5-9a36-ac4156718ed8 · inbound

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization cites this paper.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Text Classification via Large Language Models

Reference 27

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no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:58:37.267426Z digest=sha256:e94fe060a24ec781dcfbe71a68f766e6e83cdb7aa7cf987532d94e9a1e710600

Observation 2165aba7-37d1-4fc2-8743-a6095c52f559 · inbound

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? cites this paper.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Text Classification via Large Language Models

Reference 184

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no resolver link, observed 2026-08-15T14:25:40.340869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:40.340869Z digest=sha256:d4350a7b9437c4773a45c9f03560726ecea3b7ee3ad5b98b16489d1b71adb72f