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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-19T06:32:44.657259+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.

source=arxiv_source observed=2026-08-06T19:29:05.391446Z digest=sha256:f2abc72f72cf974b2eccd9087d6e5f71ca649d8c410b16fbdc2a057b9e108bc8

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:05.543535Z digest=sha256:0e3de1070a1bee11202fea950103275a503887a1de9dac0bd4d9d61bd29f0b1f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:05.640088Z digest=sha256:b5d2f1ffeed4040616144b3908507cc6093584818710f7d0d41b1703265a2ef0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:05.752569Z digest=sha256:f31bec934c3b4b26931337b5839f455f43d06ca01f30eb4dedb4656e555bbb59

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:05.879544Z digest=sha256:75bfb43d9672beaaf2c4d79895f80f48ebd17f9f466e4a3dc49b02c8cf1b692b

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.

source=arxiv_source observed=2026-08-06T19:29:06.003724Z digest=sha256:59a6e6a9a92df7828d055f6f19f15ac3e51ba0998ecf75a23e54b80358b4945a

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.

source=arxiv_source observed=2026-08-06T19:29:06.123726Z digest=sha256:0e2125ce9cf9802e337427e619f9fbb971426108735deb12d0516c8c85cd0efb

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.

source=arxiv_source observed=2026-08-06T19:29:06.250093Z digest=sha256:973ee0ce57ef14d5e0bd3e464327d79e64b8f83a503914bc2104316cdd4e4a0c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:06.353319Z digest=sha256:95635571966f4df63a863ff5ef663665d860f09d7cb04869793073b7ccecee5a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:06.473834Z digest=sha256:59c899aaa334a75bbc873682f95ecd220df4c1d194e1fb5f431755076e379ceb

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.

source=arxiv_source observed=2026-08-06T19:29:06.582472Z digest=sha256:0f3e8e4847aec107d2fa8a2c8ebb195fcd81a2ffb014b5466f9a020f682a5cd7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:06.732447Z digest=sha256:342b00c836544e3851e29ae6ba971198bd8fef0f5c4a58362c51b3082af68eae

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.

source=arxiv_source observed=2026-08-06T19:29:06.870255Z digest=sha256:92dec9ff8423825fceb54aa64cdd3c7384048e86a602d1c3dcf774a1fc6ac6c5

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.

source=arxiv_source observed=2026-08-06T19:29:07.019219Z digest=sha256:e04bd5bb10b9febf8a0e7938a2e47b4ce0e3ede64a3fe8170656e2daaab81d77

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:07.113335Z digest=sha256:fc4af5f011f11e0d029a190e9a8a293e8471f1f4ed2397a49f87cbffa862b3e8

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:07.243710Z digest=sha256:becae2614fc3ba654fe1051fab37d8ac1d4235ffb75766aa2af2bc184d812b8b

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.

source=arxiv_source observed=2026-08-06T19:29:07.381920Z digest=sha256:b4fd178cfd9ad068428a7af639a24e54d309e143c691bcad3c8f518aabee6c8e

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.

source=arxiv_source observed=2026-08-06T19:29:07.511175Z digest=sha256:7a34e6dc96ab36e3837ab9639dd1e40d73a387857d8643fc7d992eb6cc5725a1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:07.674001Z digest=sha256:27935690f9d9be003194716c1b8a1098fc13b3105d6830af3f257a70a159679f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:07.778971Z digest=sha256:e3f384e46388de00ae5e9ccc5762fd0693fd96ef091a5baf4e124fc2dc3d4463

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:07.914320Z digest=sha256:5824b2e5ffc86e1d02b0e09de5056c5b56fd07c8bff577ffbb0877185d5c52c2

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.

source=arxiv_source observed=2026-08-06T19:29:08.030136Z digest=sha256:6d7cb73877ab20a74a81724cef1d2586e5978cb250b735b2421a3f865c914c59

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:08.157869Z digest=sha256:db5ccdf288263d48e8d2c0ff2aacbe21b017ee247942c9cb94b045bca8373ead

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:08.385099Z digest=sha256:44a684248d2867ee475cc33f53f85fafecbcd1947ff177048ed9388fdacc977a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:08.495950Z digest=sha256:750322385cf1581d19331d8690fa0f9d083345ef08a64b2d1656d0f6104ef8a3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:08.599369Z digest=sha256:862958fc292417296e0d0b6ecd95f1b00d333685ed3a42b540bda30bd08741a3

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.

source=arxiv_source observed=2026-08-06T19:29:08.727188Z digest=sha256:d857fae1ea42a7a7021d62fe3e99993fbd4a58ac4cf746c25e883ea5f82b7936

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:08.825577Z digest=sha256:6f44d4c3a8ffc183db6ba2de9c2b36691263f10d134099b8ea1b6c4df1edbc8b

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.

source=arxiv_source observed=2026-08-06T19:29:08.992406Z digest=sha256:cc7dc6f96ba92d449d9288bfe4d4722f6c2b3e23fa0183aa33659eafe73a1ee2

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.

source=arxiv_source observed=2026-08-06T19:29:09.101214Z digest=sha256:9e849ab7a17a8f24b1039c22c7059622e4fe770575343e813999d077ef204d40

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.

source=arxiv_source observed=2026-08-06T19:29:09.226022Z digest=sha256:1b230c57c48f75588b67a292ecae447928f866c5afd0bebd48016e28d2e4028e

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.

source=arxiv_source observed=2026-08-06T19:29:09.385549Z digest=sha256:80c7b640805ccdfe43e109a217e5a40d599f547166b954ee8f693d405deb4f08

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:09.473591Z digest=sha256:d906f89e235f7882f3a29d89c01c7022c7e5895f528f040793e70af6a2820ea1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:09.576923Z digest=sha256:b0183d21b986bac7d6208bd9c3377c3317e4bdda7a21b7b2db1821c2b9518e35

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.

source=arxiv_source observed=2026-08-06T19:29:09.688781Z digest=sha256:0f091fb145a0bbfd5796ea4b0b23de32ea714f3bc791c6e4c2ce8dc89d410e1a

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.

source=arxiv_source observed=2026-08-06T19:29:09.823031Z digest=sha256:3dd9bc0470091cf94d6790b515b322e234fc416782b1be83ac1f793940234529

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:29:09.923191Z digest=sha256:75f1e02d339db41b551e1985b8582a5815486047512cdb6875127a8f35f9a22c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.054873Z digest=sha256:125516bdb31691d79e36db675bcf5778a92c61451af54362c73b878bacb6b0d2

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.

source=arxiv_source observed=2026-08-06T19:29:10.172931Z digest=sha256:cdc6f37f3e4de1ff38bdbf7eccc88a9c48f4a8ea98cc6070a9cb8ae92ba39118

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.262934Z digest=sha256:7d28aea9ff2247fd60d1dff5bd5da9d5c882ee612344bc6366023327f863ffb7

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.

source=arxiv_source observed=2026-08-06T19:29:10.393579Z digest=sha256:c3c0e67e6855ee1fe5737faa206e33ca7e5f7cb4af388c434041a4ffd964de14

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.

source=arxiv_source observed=2026-08-06T19:29:10.475405Z digest=sha256:ed567136b27b38644c039246d4b2a84ff54b006ceaf74f58def17f7a3e655199

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.580292Z digest=sha256:ed3fd88f448f36bdc25fe437c28bc7bce1099f98269f0fba46f06448d3b134fa

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.707447Z digest=sha256:7df0f791febddc5c8a9fb9b9d099b6d6b8456e41750d32559e3fb1eba41fd90b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.771908Z digest=sha256:77a1cf5cf5b90a1da73a524b532f90848f581dd16e66cf76182fb5102b269b0e

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.

source=arxiv_source observed=2026-08-06T19:29:10.870096Z digest=sha256:0037b1abc551f8c19091c1b878c7700f1e53d48f1aecf18580f80dd09e7afe62

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:10.991410Z digest=sha256:0993b5c8f58165e8d6e4f517ac7bc5ba5fb4747317d49c77e2b4123b69f9df61

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:29:11.128447Z digest=sha256:e2714a4c6344931c3a1966bc79b8e375dcb8a3a95dbb43e386d869667e3bcb93

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.

source=arxiv_source observed=2026-08-06T19:29:11.254895Z digest=sha256:451b15e9ad05b8708083c72fc5b31958661cbf9d1284f4f9c3cc2b80ffb486ce

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.

source=arxiv_source observed=2026-08-06T19:29:11.373257Z digest=sha256:1a124e7b7de3b109e94d28aea21464684b0ec9fba7b411f1304c7464cbcdce4b

Pith citing papers

No inbound Pith citation observations are available.