Paper Citation Record · LEDGER

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.05617.

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

pith.paper-citation-record.v1
2507.05617 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:29:11.373257Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

50 of 50 outbound references displayed

verified exact1
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 563866b8-2079-4beb-a27b-1fdbfe850d7f · outbound

This paper cites Qwen Technical Report.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:05.391446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55c6d4e-9de0-44b9-946b-8e5405e9e4ad · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:17.755181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e82a36d-7e23-47a5-bf20-277f14c7aa15 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:17.617454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b034845c-e1e4-46bd-b409-6f90b4ac80df · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:17.382641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4adae357-f9cc-4432-a483-87e59448d9d3 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:17.138821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b60595c-900b-4df0-a624-2e2ec45e33ac · outbound

This paper cites How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.003724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ec2345-4ab6-4990-9830-98a7c3e08882 · outbound

This paper cites Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.123726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d43b3e-cac5-4b89-9704-9ac51f583c7d · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.250093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5735bfc1-8a78-49a2-9bc9-eb2cc16faa73 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:16.909068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f86c0904-ba35-457a-b1dd-e34f1746f8b1 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:16.635037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba0bd0f9-3413-426b-a016-3c8601deda4e · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.582472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda0ea36-35a4-44ea-89d4-99b386934257 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:16.345844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dd83a8b-18dd-462e-bb7b-cb24d0302d8d · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.870255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7420ebdb-5b57-43dd-9bd5-f8e5c85d47c8 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching MiniLLM: On-Policy Distillation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:07.019219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3057a01d-eb4e-4551-8a2e-8b81efefac5a · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:16.034190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b09b78e-d6e5-48df-8e28-babc7b8fabc4 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:15.824885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78c69374-eddb-4296-933d-f3f3e3b2440b · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:07.381920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbef08a-b7bd-4c43-9763-44a4c83975dc · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Lora: Low-rank adaptation of large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:07.511175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0550cab1-2b74-43c2-8598-b6fd6640c84e · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:15.617546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54d2509b-f78a-46e4-81ae-7f33a9cc82da · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:15.388786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27e90861-2311-42e5-a312-725cf63e43a6 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:15.156324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7bb48eb-1147-4f1f-a409-dc3e71ccb5db · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:08.030136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66be263c-1366-4e1e-beb6-e7dc219ed8c2 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:14.889454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1228d70f-f8c1-44e3-ae11-4714ffa94e55 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:14.643994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ae0b422-85c7-4450-a116-b61671898522 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:14.438286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61163e6b-7095-4a66-a9d0-7c9f80671d1c · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:14.206826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 601678b7-47f3-47dc-9f68-49b2d0449fc2 · outbound

This paper cites Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:08.727188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63a00a6-1ed8-4839-b56b-d7e160a2bd46 · outbound

This paper cites Large Language Models for Failure Mode Classification: An Investigation.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Large Language Models for Failure Mode Classification: An Investigation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:29:11.892858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbc06664-6230-4941-80e9-3f9217426f45 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:08.992406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3648a555-298b-4291-a034-82a2532b8fa9 · outbound

This paper cites Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.101214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c1378e-0eab-4db8-b1e3-4fd36c73bd05 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.226022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775c6ae0-1f66-42b8-9af5-5acc4f779ade · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.385549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae440dc7-fe92-441d-af95-e02139562f2f · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:13.977760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c64d75cc-2e2c-481c-bfb8-12a7c304b26e · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:13.743974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0e254cc-f114-48d7-8738-2b5b96705388 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.688781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd950f3-b34f-4e9e-8073-f3ed7f7e67a4 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching C-Pack: Packed Resources For General Chinese Embeddings

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.823031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ded4c55-e07c-42b4-9f4f-25d815628612 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:09.923191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431375bb-6447-4cea-8aa9-c24276658886 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:13.480077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71ef3b62-49f8-4708-9e64-3bf3bc99428b · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching A Survey on Knowledge Distillation of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:10.172931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d713e91-9fbe-4727-b463-e4be80ac46af · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:13.262976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e20102b8-adbb-4323-a828-5445422094b0 · outbound

This paper cites FinBERT: A Pretrained Language Model for Financial Communications.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching FinBERT: A Pretrained Language Model for Financial Communications

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:10.393579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9c2c0e-ad7c-44cd-93c5-03e4f816e9f0 · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:10.475405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471cfca0-8f8a-4073-b634-1ac53485a1fd · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:13.069332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb11b946-5e63-4943-86a6-1cc96db0939d · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:12.863954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ce1aec8-5202-4cf3-9463-47fead8cbfc1 · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:12.597596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62c37c05-9cc3-48a9-98b8-5d9ceccf7a77 · outbound

This paper cites A Survey of Large Language Models.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching A Survey of Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:10.870096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498f1b29-c486-4fd2-8bc5-4a1be828cf0b · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:12.376074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14191f37-f6f2-4107-864f-d762b216d2fe · outbound

This paper cites an unresolved cited work.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:12.168212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edc0dc46-b566-4931-b618-7b92ee8db0ee · outbound

This paper cites URL: " 'urlintro :=.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching URL: " 'urlintro :=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:11.254895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24359cce-0ca8-4c37-9cc9-7a31ec133696 · outbound

This paper cites write newline.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching write newline

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:11.373257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.