Paper Citation Record · LEDGER

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.00330.

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

pith.paper-citation-record.v1
2501.00330 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:57:33.225141Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact5
verified fuzzy12
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d23144c3-3380-4f1c-9e49-25607695c2b5 · outbound

This paper cites Correct like humans: Progressive learning framework for chinese text error correction,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Correct like humans: Progressive learning framework for chinese text error correction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.827521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60b99c38-937a-4ce5-9ab0-714ade05d123 · outbound

This paper cites Alternating language modeling for cross-lingual pre-training,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Alternating language modeling for cross-lingual pre-training,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.067986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71fb0a67-d81b-404f-a47b-ffc926b758f2 · outbound

This paper cites The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:57:33.596978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0ae8c60-2bfe-4d29-ba62-afc8e238668b · outbound

This paper cites CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:57:33.573289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d1aadcf-7145-4c2a-be8a-79a34d40b041 · outbound

This paper cites Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:57:33.548829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af19fd03-8d9f-4d04-a17f-e98d9ea7430c · outbound

This paper cites Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:57:33.525785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71a9ad32-3d87-4d9a-842e-4cbf5cbacd42 · outbound

This paper cites ExecRepoBench: Multi-level Executable Code Completion Evaluation.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion ExecRepoBench: Multi-level Executable Code Completion Evaluation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.095357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73982296-4308-42f5-a811-5952efedcbab · outbound

This paper cites Evaluating and Aligning CodeLLMs on Human Preference.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Evaluating and Aligning CodeLLMs on Human Preference

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.101085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22dcc1a2-82b1-4121-b085-db8430aef578 · outbound

This paper cites When llms meet cunning texts: A fallacy understanding benchmark for large language models,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion When llms meet cunning texts: A fallacy understanding benchmark for large language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.812222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f461b2e8-e5d0-4eeb-85a9-2ba2062a58f2 · outbound

This paper cites Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.111003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003d1888-3a4b-4a7f-9813-50a9e8f39c2b · outbound

This paper cites LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.116098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48fa89e3-d2d4-49d3-bceb-d72061b8a96f · outbound

This paper cites LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.121168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdbf64a5-d4db-42bc-b7f8-098ab3888d47 · outbound

This paper cites On the (In)Effectiveness of Large Language Models for Chinese Text Correction.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.126810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01523cd0-260d-4bd1-aa02-4f539652c85c · outbound

This paper cites Active relation discovery: Towards general and label-aware open relation extraction,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Active relation discovery: Towards general and label-aware open relation extraction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.797112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d8fa06e-a807-4141-a946-5b43b52db250 · outbound

This paper cites Are we ready for a new paradigm shift? a survey on visual deep mlp,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Are we ready for a new paradigm shift? a survey on visual deep mlp,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.779197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85530338-8a49-438b-a297-f352257a90c6 · outbound

This paper cites Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.140899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea74ed7a-e42f-4578-8b6b-b5b11736e8c6 · outbound

This paper cites Ecomgpt: Instruction-tuning large language models with chain-of-task tasks for e-commerce,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Ecomgpt: Instruction-tuning large language models with chain-of-task tasks for e-commerce,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.762642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d9b749c-4291-41fd-9063-305ad31ff5ba · outbound

This paper cites Mesed: A multi-modal entity set expansion dataset with fine-grained semantic classes and hard negative entities,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Mesed: A multi-modal entity set expansion dataset with fine-grained semantic classes and hard negative entities,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.744911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7fa150a-d95d-4c49-9f15-9a7fdeb1fc43 · outbound

This paper cites From Retrieval to Generation: Efficient and Effective Entity Set Expansion.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion From Retrieval to Generation: Efficient and Effective Entity Set Expansion

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:57:33.383726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5782fa4-2a78-40e9-9804-2f489c1d68a6 · outbound

This paper cites Automatic context pattern generation for entity set expansion,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Automatic context pattern generation for entity set expansion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.727257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c26eb617-905b-4714-830f-bd27e0aa8f8f · outbound

This paper cites Listwise approach to learning to rank: theory and algorithm,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Listwise approach to learning to rank: theory and algorithm,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.711352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f471fbf-0d71-48b7-a4d5-c335a482f585 · outbound

This paper cites Learning to rank: from pairwise approach to listwise approach,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Learning to rank: from pairwise approach to listwise approach,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.695681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b67cf73-491f-4f2f-8ac1-d12f6b7b7e25 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Sequence to Sequence Learning with Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.173706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ec86bb-f627-4fd1-8d36-5503cac59a8f · outbound

This paper cites From retrieval to gen- eration: Efficient and effective entity set expansion,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion From retrieval to gen- eration: Efficient and effective entity set expansion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.679003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4389709c-87da-4751-97f1-93d1cb74ce1f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.183294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f179097-aa88-4875-933a-6e2f1d280271 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Improved baselines with visual instruction tuning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.187999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d049506e-2144-41b4-bc9f-6d1f47abcb8a · outbound

This paper cites Setexpan: Corpus- based set expansion via context feature selection and rank ensemble,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Setexpan: Corpus- based set expansion via context feature selection and rank ensemble,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.652350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5bd0849-f145-4c8b-a6ec-50c080915fc1 · outbound

This paper cites Empower Entity Set Expansion via Language Model Probing.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Empower Entity Set Expansion via Language Model Probing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.197384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb35a87-7b17-4759-9eac-a9ced6e7da77 · outbound

This paper cites Contrastive learning with hard negative entities for entity set expansion,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Contrastive learning with hard negative entities for entity set expansion,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:33.635761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e861c5ac-0c61-455b-8d0c-b7f4458d5db5 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Learning transferable visual models from natural language supervision,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.206744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb9a588-26b6-41f3-a583-8818d23444b9 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Align before fuse: Vision and language representation learning with momentum distillation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.211202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da64e61a-5a31-4ed9-9196-4b9a91137bf3 · outbound

This paper cites Qwen Technical Report.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Qwen Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.215798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9ed718-2688-46ef-bdc5-f2ca47ef3dfa · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.220435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f8edf5b-b2c2-4e8c-ab6a-dd2b6e8ff3b9 · outbound

This paper cites Qwen2 Technical Report.

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion Qwen2 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:33.225141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.