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Paper Citation Record · LEDGER

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 5 inbound Pith citation observations for arXiv:2411.14318.

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

pith.paper-citation-record.v1
2411.14318 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:22:34.332717Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.475257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:37:00.884337Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 385e9585-4fb9-48b9-881f-ef65536210f2 · outbound

This paper cites online" 'onlinestring :=.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-12T15:22:34.236607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.236607Z digest=sha256:257f33bcd20daa6d7466e71942206807cf20e457ef5a26180a614d104c33fddf

Observation 1b5bcc0a-5434-48ea-8ae6-446018403cc2 · outbound

This paper cites write newline.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training write newline

Reference 2

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no resolver link, observed 2026-08-12T15:22:34.241084Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.241084Z digest=sha256:55c2d7db35e45169dffb7ae7adcbdfa04f278cdfc51958fb50314dc99c2a0607

Observation 2765f05f-bb69-4dff-912d-2c33a24f0372 · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-12T15:22:34.245547Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.245547Z digest=sha256:24d23426e5e3709763d58fb04ddebbc5f40791ac52479db85d727ddc70fd23a5

Observation b1bc1ae3-3c7b-44ba-98ab-989edd9f869d · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-12T15:22:34.550481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T15:22:34.248987Z digest=sha256:2acfd1b0b4f915c36a5afdd90ad101ca8dc68bed4e0a6c37c21eac38343a6116

Observation 8b5cd86d-8c63-434c-9781-8b553bf47fc8 · outbound

This paper cites Program Synthesis with Large Language Models.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Program Synthesis with Large Language Models

Reference 5

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no resolver link, observed 2026-08-12T15:22:34.252293Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T15:22:34.252293Z digest=sha256:280b835cab1c50e3178362d53cb6c1fbeb522c52c42bd24ef91f1949048c0901

Observation 7470c403-006d-48c0-9fd8-cadf1b1b2bfc · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Llemma: An Open Language Model For Mathematics

Reference 6

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no resolver link, observed 2026-08-12T15:22:34.256370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.256370Z digest=sha256:c5bd45e40ad065ed07ed09e4c991d3eadba64ae77b8028ec768064038c5c8e82

Observation a218bcd7-3ba3-46e3-ab19-8ff466c5ef3d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Evaluating Large Language Models Trained on Code

Reference 7

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no resolver link, observed 2026-08-12T15:22:34.259682Z

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source=arxiv_source observed=2026-08-12T15:22:34.259682Z digest=sha256:09de39a82d2647e6f91302da86bdafca9cf5d441dc65d5d6a80b23c34cf91951

Observation 1e9698cd-db35-4ee2-8830-5d3d2115c861 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Training Verifiers to Solve Math Word Problems

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.263006Z digest=sha256:8ed4b24b6f33bd16942724f7a17bf901a7ff460b482e786a5374acc1bbd0d055

Observation 178d2186-2700-4e1c-a1dd-fbb6ff7f55c0 · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-12T15:22:34.266472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.266472Z digest=sha256:2cc977be16ae02a0ec8cbb1323d3fdb190d9e5860a43ffe9c2952768a1c4157f

Observation 557d1332-d56d-44c9-9e8a-c0d96c77453f · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-12T15:22:34.269292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.269292Z digest=sha256:07837958525cb11a419da2a016a081e11d30a4b018c56365ffb00bb7f6e4b968

Observation a12d1e94-1478-41c7-88c6-29cce4d4c2ec · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training DoGE: Domain Reweighting with Generalization Estimation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.272064Z digest=sha256:c98d1f913a00617bffadffb3ac216c9072d74d8bf15dcfc1850961a66fdeb909

Observation ccecf94b-e1d9-44f0-b2f8-5d06869685fa · outbound

This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Reference 12

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no resolver link, observed 2026-08-12T15:22:34.275438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.275438Z digest=sha256:c5931ae2f7b545c4a9818bd59d3f4548730c8922e4ad9538b3bbc02b9c80c422

Observation f07af51a-51fe-4622-9728-9c7663b2fee6 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 13

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no resolver link, observed 2026-08-12T15:22:34.278715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.278715Z digest=sha256:c332a474ac8083cc969d91746288728715b20c0f2217a39d2518d7c8edebffb8

Observation fb71272e-2351-4642-b634-d8d8ce70762c · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Measuring Massive Multitask Language Understanding

Reference 14

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no resolver link, observed 2026-08-12T15:22:34.281969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.281969Z digest=sha256:021f8d08574367320ff3bd060fe4c2b0f5dab3f8dd7ead36cebb7048a18dc41a

Observation 96e69cd3-8b54-4e33-a210-8a505589646e · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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no resolver link, observed 2026-08-12T15:22:34.284926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.284926Z digest=sha256:36d729c40b6b233704b3e635f90b6a2d75a75612a77c32f520d5f4b62091865e

Observation ded641bc-4e3d-426e-8efa-b709898ae0ba · outbound

This paper cites Training Compute-Optimal Large Language Models.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Training Compute-Optimal Large Language Models

Reference 16

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no resolver link, observed 2026-08-12T15:22:34.288067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.288067Z digest=sha256:8b753f5751b4149ab19ab2e4fe37b341345185f7c4844953ead528ea104c379a

Observation 0cfc4791-7aaf-4cfc-805d-1dc17ce80927 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 17

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no resolver link, observed 2026-08-12T15:22:34.291146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.291146Z digest=sha256:6d5ed31b669194db74c6015ad2cc611572adab4ef6f90ba197fff11ac4827ebc

Observation d2cf4d7e-f352-41ee-a300-05aa4b00e1ef · outbound

This paper cites Mistral 7B.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Mistral 7B

Reference 18

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no resolver link, observed 2026-08-12T15:22:34.294239Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.294239Z digest=sha256:98bc1a8b97f973a1ce056718e73884c35e30f0b2fb405d345a5851ad06b916e1

Observation af3641e7-cfde-46d3-927f-f1479aaea52e · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-12T15:22:34.530856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T15:22:34.297723Z digest=sha256:37418df3dd85ab0216365d342800ec0f5cf30667be56fa18b3ae56312763c24e

Observation 80b45002-b33d-4110-b792-a2cec13b1419 · outbound

This paper cites Scaling Laws for Neural Language Models.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Scaling Laws for Neural Language Models

Reference 20

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no resolver link, observed 2026-08-12T15:22:34.300778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.300778Z digest=sha256:92d463b38ca38796545a80927ec6062fa47db1ac4b43a3736c9c0d7756354407

Observation 5108ad20-4c4f-445d-9c96-9be0e5fb50da · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Solving Quantitative Reasoning Problems with Language Models

Reference 21

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no resolver link, observed 2026-08-12T15:22:34.303905Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.303905Z digest=sha256:477cfdb5ed4b38a3a5e56371d8ebfffa80b0bc30a8a700119925407622409a26

Observation 085096d6-39ff-46c6-98f9-f75feba283af · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training DataComp-LM: In search of the next generation of training sets for language models

Reference 22

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no resolver link, observed 2026-08-12T15:22:34.307353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.307353Z digest=sha256:aaa4734d7bb48987f88591f24bd0c24baf75c6d9c45a70049aa8873c72986250

Observation deeb98a0-f528-438c-a1be-b7bff49fba1f · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-12T15:22:34.310664Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.310664Z digest=sha256:086636e5903dc6cf9aef82407f5189fcff973d0bf2e7a16afd7f70a9e85a2688

Observation 286ccca9-f8ce-4dc0-b160-586d1843db16 · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 24

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no resolver link, observed 2026-08-12T15:22:34.313638Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.313638Z digest=sha256:85c6afc24e20a4a9378fda803ad5d27e17aceac93166dd99733b6ed7948e2ca8

Observation 33de0d82-f040-4e8d-9144-008eaecdbc5b · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-12T15:22:34.316732Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.316732Z digest=sha256:492345e94c1e263a1ec07bb310befbbfc1da1d690b6707a947fbe9cbb114a94c

Observation 5b97f3fa-633a-4cb8-b14e-656e0d4fcf17 · outbound

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

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Code Llama: Open Foundation Models for Code

Reference 26

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no resolver link, observed 2026-08-12T15:22:34.319681Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.319681Z digest=sha256:0dcb3803c9535f0f9fc77f429551c048ae64c80ad195bfcebef5ce824a8dfc3e

Observation c26b8512-b08f-43d7-937d-e97d06262c43 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 27

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no resolver link, observed 2026-08-12T15:22:34.322878Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.322878Z digest=sha256:840091425d61b1801e9079518e6f6db96184d433ff3cbfb7e4dd8ec23cc1ab81

Observation a47b9cf0-1f08-496e-8c48-1ce77c851b7b · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-12T15:22:34.326850Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.326850Z digest=sha256:3ced46d1d2d71b271faae629698fcaf399a6fd48617925d037fe157f6f3c665d

Observation 60b8d32c-3a22-41b2-a66a-54fd0c24da6c · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 29

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no resolver link, observed 2026-08-12T15:22:34.329704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.329704Z digest=sha256:fccb81ebf1432237eb72fdedf32a4ed851b364cca36ae6f9a05939c6d965d1d9

Observation bb8d319f-cc71-41b8-ac0b-8d84ff7d9eca · outbound

This paper cites an unresolved cited work.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-12T15:22:34.332717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:22:34.332717Z digest=sha256:4aaf800a52e4babc7ed6abd051ade9d90fbab5be58f152f40be85d236ee070b8

Pith citing papers

Observation d9682801-4383-4377-945e-38929b001639 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 276

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no resolver link, observed 2026-08-07T14:33:13.475257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.475257Z digest=sha256:4e67093aa7ebb1427b4a801b0031e6600d4123c0df5cce491acb9a4ffdf68e33

Observation a8254859-93c3-45ee-ba9e-011c5d60762b · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 32

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no resolver link, observed 2026-08-07T13:33:52.387698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:33:52.387698Z digest=sha256:9d4f6e241f95c0715de8c14bb4f466d2599735a3eae3b4d2b5dd0d4462b78153

Observation 14371040-232c-4852-8230-a1d4896d103c · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 138

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no resolver link, observed 2026-08-07T00:40:26.250799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:26.250799Z digest=sha256:91ecd890ede435069a7b2edaf39a9be19e35834d233af04800d30ccaa8fead0c

Observation 8de84e0c-5445-4468-bda8-ef5f12e50b2d · inbound

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training cites this paper.

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 17

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no resolver link, observed 2026-08-06T17:28:02.450103Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:28:02.450103Z digest=sha256:e2924fc6cbb61d4a62d9141059434cea408d3c1b2028022e2f68f6184f293d6d

Observation 87026fe1-9069-4bff-970a-1a075510265e · inbound

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 22

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verified exact
arxiv_id, observed 2026-05-19T03:37:00.887186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T03:36:50.366757Z digest=sha256:ad5ed93de9f48ff889f71e65169beaddf3a4fb464c9e1e640a7b556ca7a09ecd