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Paper Citation Record · LEDGER

Channel Merging: Preserving Specialization for Merged Experts

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2412.15283.

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

pith.paper-citation-record.v1
2412.15283 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:40:16.371345Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:35.384832Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:08:35.871963Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b520867-49d9-4665-b6bb-08a5f2478f0c · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Channel Merging: Preserving Specialization for Merged Experts , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:15.887235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:15.887235Z digest=sha256:9fc060eb303af20fde25f31d35e9962841f04c4a1425bd6b8ad9739076cce3f6

Observation 44dd5461-484c-4f75-b0ef-f7394463ac5c · outbound

This paper cites write newline.

Channel Merging: Preserving Specialization for Merged Experts write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:15.894489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:15.894489Z digest=sha256:66b33440bf766b267343cf68b747d5c299e478ec2fd38587cd04b4ac92c691a8

Observation 3be958f6-65a1-4611-a1d2-8561a5eb0165 · outbound

This paper cites bert-base-multilingual-cased.

Channel Merging: Preserving Specialization for Merged Experts bert-base-multilingual-cased

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:18.021335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.904559Z digest=sha256:2fe2eab7299dc7bfdfe1bc350c13a975e469fc98ab1b2151a8c35201e73f8ae7

Observation cd242f04-b429-4e3b-83b6-5e9391bf037e · outbound

This paper cites Chinese-Mistral-7B-Instruct-v0.1.

Channel Merging: Preserving Specialization for Merged Experts Chinese-Mistral-7B-Instruct-v0.1

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.984826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.913695Z digest=sha256:e2224b43c3368d18e9d28766af55b1524ff6ac8166b6bdb2ee11ce3e4e4313d9

Observation 7796b79b-3c3b-4079-bcc6-5380855b9e1e · outbound

This paper cites CollectiveCognition-v1.1-Mistral-7B.

Channel Merging: Preserving Specialization for Merged Experts CollectiveCognition-v1.1-Mistral-7B

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.955334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.920491Z digest=sha256:c52a30682394ad1d7e9562b887af47c9817686c06fcd268f1abc2cd17c23855b

Observation a047a164-8a45-4fdd-ab7b-e6eed594351b · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.925812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.929606Z digest=sha256:6477c94cf2919b7bac37ddab2297e9b58687202da655a739e6caecc84c41ded2

Observation 9b61e780-dd4a-46d2-8293-cab48bccc3f2 · outbound

This paper cites Dolphin-2.2.1-Mistral-7B.

Channel Merging: Preserving Specialization for Merged Experts Dolphin-2.2.1-Mistral-7B

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.898736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.938019Z digest=sha256:d140708495c465c8ba55ffb330d115eb46bf275264030c7a9c9ab08d2a310e42

Observation 083d3d18-e500-40da-af65-45bd90123ea4 · outbound

This paper cites Hercules-2.5-Mistral-7B.

Channel Merging: Preserving Specialization for Merged Experts Hercules-2.5-Mistral-7B

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.846770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.946100Z digest=sha256:8ef095f234e486d14fd5b55d3329224192c0ad982ea8fdc6b1283bda831d8d5d

Observation 1f985b63-9efc-4c19-904d-dab7de7dcd57 · outbound

This paper cites MetaMath-Mistral-7B.

Channel Merging: Preserving Specialization for Merged Experts MetaMath-Mistral-7B

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.819733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.959233Z digest=sha256:94d78413e7a59a3bcb52c518a20de853fd3fbdc3daf565efd0745f5dd2e3606d

Observation 68c3095d-35b8-48e9-a9fb-e28155580513 · outbound

This paper cites Speechless-Code-Mistral-7b-V1.0.

Channel Merging: Preserving Specialization for Merged Experts Speechless-Code-Mistral-7b-V1.0

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.787777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.968660Z digest=sha256:873858f1632195a12e0915cb8acc6d516b62e4ee789933610e1e970ae067bc6f

Observation 7b1ad2f9-b000-4497-bb5e-697e73718f53 · outbound

This paper cites Wizard-LM-Chinese-instruct-evol.

Channel Merging: Preserving Specialization for Merged Experts Wizard-LM-Chinese-instruct-evol

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.760061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.975527Z digest=sha256:ea737320d389f88471e14b3b86186cc47902bb669514b598af15db6c523f7d6d

Observation 0e5e061b-d02f-448e-90e3-6b296462ea9f · outbound

This paper cites WizardLM-evol-instruct-V2-196k.

Channel Merging: Preserving Specialization for Merged Experts WizardLM-evol-instruct-V2-196k

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.738971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.983240Z digest=sha256:f414192d6ae65ebe1acde23b545ebe3ccc7943fc1e0666052a30518718a03f76

Observation ef07f6c0-c405-4c8f-86af-963eec04a11b · outbound

This paper cites K.; Hayase, J.; and Srinivasa, S.

Channel Merging: Preserving Specialization for Merged Experts K.; Hayase, J.; and Srinivasa, S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.717028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:15.994411Z digest=sha256:bc6e83bc5531f969574cc2efe4e7b2d098201553a08c2de6f13c75527204d761

Observation 5951fe96-d5a6-4cfc-839a-67b901cd574b · outbound

This paper cites Program Synthesis with Large Language Models.

Channel Merging: Preserving Specialization for Merged Experts Program Synthesis with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.001211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.001211Z digest=sha256:918ae45902d53b267e3387306deae26bc88d2709923469ef06365cd5b45587ed

Observation 35de7dc5-ac2b-44aa-a1be-ab16fedbc860 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Channel Merging: Preserving Specialization for Merged Experts FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.007863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.007863Z digest=sha256:1c57c06d29c7d35a9397e108ef9f8421a5daeaab6f6dc0c53de898c7d6d70c9f

Observation 69ed966f-6932-4620-9c8d-7f1737e09097 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Channel Merging: Preserving Specialization for Merged Experts Evaluating Large Language Models Trained on Code

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.017884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.017884Z digest=sha256:348904508d4574c5556bc3d055d5e8dcd9dd8bf329b449129cf29ac3e6970478

Observation a5de45cb-ed24-4453-a475-e666268fcb35 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Channel Merging: Preserving Specialization for Merged Experts Training Verifiers to Solve Math Word Problems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.024917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.024917Z digest=sha256:93de9b626a87a324060660b2425bc7e8fa64d6e1f5166020f76495d075618851

Observation 3e8538c7-a2d3-4704-9bd3-4f4ffd024c71 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.690136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.034081Z digest=sha256:f7b57221d2d86da5fe815299cc47944dc518b46c7ebfdeb7f6e679a0e29924ea

Observation 1dc0e92f-6fdb-4671-938e-9a9710d13d56 · outbound

This paper cites M.; Gurevych, I.; and Khan, M.

Channel Merging: Preserving Specialization for Merged Experts M.; Gurevych, I.; and Khan, M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.667613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.044928Z digest=sha256:e34e007f0a657ac6dc66eb82ec08eae6401f876c29d96156ee5ba0519ab9a791

Observation c3bcfd65-0670-4257-b370-74abe6057c25 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.646648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.053216Z digest=sha256:57000f439e7392b5ce6d5f73b55b04f32967b7b4c0715cdb4784d36b424fb66d

Observation e7d584e8-45a5-4721-90da-b9c6741af405 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.624803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.062947Z digest=sha256:e3173cc9028781d5a6663e0ad6f3d84e086abb2e2d19b48a72dce05252562367

Observation 35763719-145c-4a71-aea9-067e3ed00619 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Channel Merging: Preserving Specialization for Merged Experts Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.070755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.070755Z digest=sha256:6a1ae6a06758f61802ec0bbf61845f2c4437550e4bd29fbed3ec825ab7a119e0

Observation 7d3cce66-d31a-43ac-9fb0-5376b521359d · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.591683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.084131Z digest=sha256:fae80faf4e56b399ec75ba2e3da0aa3ab632775d0ce301f022fa7477aaac2e08

Observation e574051d-50e3-4859-91b6-1670b0164add · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.563865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.091641Z digest=sha256:62c6e6b1f3689fbc4d347b4166350ee5694bf348cd8de9a8fc7efbb31a41df3e

Observation 030ab354-c422-4ba3-b230-050286ede325 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.536447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.104473Z digest=sha256:312fab12a5ed54804d66500fa6e371ae9c0df221a92979c23b52da741df6289c

Observation 4d12e418-bb06-4d90-9a47-a04fdb41605d · outbound

This paper cites T.; Wortsman, M.; Gururangan, S.; Schmidt, L.; Hajishirzi, H.; and Farhadi, A.

Channel Merging: Preserving Specialization for Merged Experts T.; Wortsman, M.; Gururangan, S.; Schmidt, L.; Hajishirzi, H.; and Farhadi, A

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.511553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.117493Z digest=sha256:7315c624c0b5aa480511808bcbab121c2f15cac8c5605b042d84b81bd349018f

Observation 2a892579-e34a-4923-857d-a920a3b21076 · outbound

This paper cites Mistral 7B.

Channel Merging: Preserving Specialization for Merged Experts Mistral 7B

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.129231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.129231Z digest=sha256:43bf4b2864ad8acdc07df1664217e36d25d649d4b7948a7ddd083fd7f89d468b

Observation 77cba144-a348-4985-b9ec-d5a8ced7a9d2 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Channel Merging: Preserving Specialization for Merged Experts LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.140060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.140060Z digest=sha256:fe2f029be256ecaa03a2c1836524d30b91e18a740b36d6ef794183eecfedc12f

Observation a78fcbb4-1d89-46a0-b3a5-916523df2b71 · outbound

This paper cites BYOM: Building Your Own Multi-Task Model For Free.

Channel Merging: Preserving Specialization for Merged Experts BYOM: Building Your Own Multi-Task Model For Free

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.147482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.147482Z digest=sha256:5ec0e6c91c4661df18ddf686777e9c23e0a2bc81a60a623d11d124dd8410c362

Observation 6318e105-db1c-461c-96c0-80b438600d6d · outbound

This paper cites S.; and Zettlemoyer, L.

Channel Merging: Preserving Specialization for Merged Experts S.; and Zettlemoyer, L

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.482462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.159051Z digest=sha256:7e2886405adeab8afdf20a36941cf438c6f0c276bebc9d6e6831f09a0d8e2675

Observation 90e749db-89e0-43a4-bb25-b6568329d6e2 · outbound

This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Channel Merging: Preserving Specialization for Merged Experts SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 31

Resolution
malformed identifier
no resolver link, observed 2026-08-11T12:40:16.167535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.167535Z digest=sha256:98d47b2db49a7f076d19c39a2982829464cd80ba53fb23c71435d83c712f01ac

Observation c2cd5350-b6cb-4125-9636-78958543f60d · outbound

This paper cites B.; Granitzer, M.; and Lemmerich, F.

Channel Merging: Preserving Specialization for Merged Experts B.; Granitzer, M.; and Lemmerich, F

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.460230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.174588Z digest=sha256:80888b15d1b735d39b34c6bcbc97d4672b73910d8a6f3e69cdad23be20918d61

Observation a604d9eb-0b80-4632-8eea-c48384f4f2fe · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

Channel Merging: Preserving Specialization for Merged Experts CMMLU: Measuring massive multitask language understanding in Chinese

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.187741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.187741Z digest=sha256:a7f49ce2c3433b42de5d0d87f4ae70b8b67eb19741ad9504a8da278a737555b8

Observation 7b35d34f-335f-46b7-9795-469dd15961ca · outbound

This paper cites ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models.

Channel Merging: Preserving Specialization for Merged Experts ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.198227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.198227Z digest=sha256:6f79d74bb7a373258eef51fccd96d00034d717155a0c90f9bf1558877e7ebba1

Observation e0691b77-c426-4ad2-885d-5efba5a35940 · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Channel Merging: Preserving Specialization for Merged Experts Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.205215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.205215Z digest=sha256:ac329b69e4380b9948212276cf6f774c9d05e4b46df62d9f478e6ecba56b7b06

Observation 298e63e2-5243-4ede-ac75-7ecef48fa1dc · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.412692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.213816Z digest=sha256:43a5ed10ff68ecb70a9d86c43831c178e1cb70f51b5022fe0655c5a1d2556ffc

Observation fb67aaba-d0aa-4ae6-b988-93aa08478348 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.379136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.220557Z digest=sha256:eee5a3cb20e7ea883172ab2db777ed71287995b316dcc5459d587b2cf111ba9c

Observation d296f486-a204-4d41-b321-3ebf27edd87e · outbound

This paper cites S.; and Raffel, C.

Channel Merging: Preserving Specialization for Merged Experts S.; and Raffel, C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.348250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.228779Z digest=sha256:960a0e1cc6fa37dce465364015fbafc2b6a54e9ad6823acbdf9f023a7545f255

Observation a6bb14e6-9ccc-4108-b740-814d66ddb00e · outbound

This paper cites S.; and Raffel, C.

Channel Merging: Preserving Specialization for Merged Experts S.; and Raffel, C

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.317355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.235614Z digest=sha256:cf4c2b8fa6ce3313773c0ed201932e55eb5e7e12e87d9a7b64e7888f79328eb5

Observation 06b693ec-87d6-44fc-a842-9dc4bcb67f7a · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Channel Merging: Preserving Specialization for Merged Experts Code Llama: Open Foundation Models for Code

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.242324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.242324Z digest=sha256:97302538ad6dd7a2dea4b652c2e5b1b17e2bc67ee4e430c0ffc47a9308bc76ce

Observation a3799d27-2204-447f-9b4c-7a9b5b48e471 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Channel Merging: Preserving Specialization for Merged Experts Large Language Model Routing with Benchmark Datasets

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.249758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.249758Z digest=sha256:17909d36062161aee4febf38aff2c247dfdfb4b4876e9f40ccfdd86563793267

Observation 310e74cb-d0c7-43d0-90cc-4a5b30319b1e · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.275754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.255866Z digest=sha256:1c395b8546b32e164552c8cac3265a30736cd0a2afce489fda56f36be4dee5d9

Observation 950fdcd0-e88d-4bed-9f57-edf9d7620dbf · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.252072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.262619Z digest=sha256:058086a649bea00d07d1e700d8950ec8680e98287de973975951b81e244f2ed0

Observation 6a03339f-ac87-4f89-a8dc-bce12c3bd064 · outbound

This paper cites Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.

Channel Merging: Preserving Specialization for Merged Experts Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.270235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.270235Z digest=sha256:c51e07417c9d096c536e47be218b315f7cdb3792240aa1c5b1271fbe73010f05

Observation b476cf6b-f17f-4eec-89a1-83ada1013fa7 · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

Channel Merging: Preserving Specialization for Merged Experts OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.279886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.279886Z digest=sha256:fe27d252dad2928f400bb3da0b1f313e551ac33f09974351a5326e87a5449af1

Observation d7ffdd2f-3646-42dd-80f9-5fdf4fe559f2 · outbound

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

Channel Merging: Preserving Specialization for Merged Experts Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.288114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.288114Z digest=sha256:87359b1d370f76a2175758d0c5b8947c58c653e829aaaf2463376ecabc33feaf

Observation 5368b17d-14b0-492e-8c03-a65da467c4e6 · outbound

This paper cites Y.; Roelofs, R.; Gontijo-Lopes, R.; Morcos, A.

Channel Merging: Preserving Specialization for Merged Experts Y.; Roelofs, R.; Gontijo-Lopes, R.; Morcos, A

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.208060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.298147Z digest=sha256:475570a3b130fde7a65ea6f542c91a1d017a981a70071e48f902e36aac3ab44b

Observation 86c00b1c-9023-49bf-8756-f3c1a414e12a · outbound

This paper cites PMC-LLaMA: Towards Building Open-source Language Models for Medicine.

Channel Merging: Preserving Specialization for Merged Experts PMC-LLaMA: Towards Building Open-source Language Models for Medicine

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.306119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.306119Z digest=sha256:2e98f5e772c11871614f22f8c3140285e5d9a849d80e1896ad3b01886fabfda3

Observation 79ed223c-9d33-484d-89b4-84ca7850e9b1 · outbound

This paper cites A.; and Bansal, M.

Channel Merging: Preserving Specialization for Merged Experts A.; and Bansal, M

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:40:17.179629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.314269Z digest=sha256:39878907e0618b1edbfdd73e33f4a574dc3dfc63c45a04d1bf886650dcf804af

Observation 2285d99c-f1d4-45b3-ba45-aaa69fd1573f · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.146635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.332215Z digest=sha256:1787e22c1f25fe3e490c938a177be4e6b0529b8d7920ffd731ea76c272b2db92

Observation baab921c-9ddb-4649-9e82-ad4b54f4895f · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Channel Merging: Preserving Specialization for Merged Experts MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:16.342012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.342012Z digest=sha256:d0fa2a5aa159ee27b7bd018b34eda1e98ed420ca0cabffefda6dac31342836b3

Observation 0d25462f-b719-46bc-8b96-9c1c371d1d13 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.109492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.353728Z digest=sha256:87fff186c9ffca4054d851946d4c0ba929b08463b3ce68b1b3519ce3fad3e5c0

Observation 6f5405e5-0b06-4e90-8c6b-dc3d771a00d7 · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.081075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.359947Z digest=sha256:76e6d1831353cb823f380700a408a85c65d11aed6109e1892c45b4fa5171f2f4

Observation 9e7d6808-0eae-4f1e-8189-3bda492e0d7d · outbound

This paper cites an unresolved cited work.

Channel Merging: Preserving Specialization for Merged Experts Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:40:17.059035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T12:40:16.371345Z digest=sha256:7a926c7e403c368e3a711c1555423478f599af14a2893134cda80f1b86c82bdf

Pith citing papers

Observation 758af4d8-5dc8-4b7b-869b-c4cd745e3d39 · inbound

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion cites this paper.

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion Channel Merging: Preserving Specialization for Merged Experts

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:08:35.877045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T22:08:35.384832Z digest=sha256:f5eea2d763e10e07c8716d04cbfe6b6cb60df67575a465ed6cae740ce2154fcc