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Paper Citation Record · LEDGER

DoGE: Domain Reweighting with Generalization Estimation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2310.15393.

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

pith.paper-citation-record.v1
2310.15393 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

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

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:51:31.735699Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.763967Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6490f8cc-9cc1-4982-9a90-c9a9343b152a · inbound

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

DataComp-LM: In search of the next generation of training sets for language models DoGE: Domain Reweighting with Generalization Estimation

Reference 63

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arxiv_id, observed 2026-05-17T22:58:16.949433Z

Source-reported events for the cited work

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

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Observation 33c63d39-ccb8-4aa1-b181-eb86a6eb7e20 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs DoGE: Domain Reweighting with Generalization Estimation

Reference 19

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:51:31.735699Z digest=sha256:e6d1f13bbe1dc2e99365f0e2e4e4aac57d141bcfeea925ae07d255c2c916096f

Observation 93a373ce-7ae5-43b9-b2fb-750171ab7e4b · inbound

Training Bilingual LMs with Data Constraints in the Targeted Language cites this paper.

Training Bilingual LMs with Data Constraints in the Targeted Language DoGE: Domain Reweighting with Generalization Estimation

Reference 18

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no resolver link, observed 2026-08-12T17:04:34.345358Z

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source=arxiv_source observed=2026-08-12T17:04:34.345358Z digest=sha256:525d1279abb6f6bef1bda3e964c7b12d7b0d5f86c227989bf443b071e49bd4de

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

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training cites this paper.

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

Reference 11

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no resolver link, observed 2026-08-12T15:22:34.272064Z

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source=arxiv_source observed=2026-08-12T15:22:34.272064Z digest=sha256:a70c4ea0ad50c7f19bff5269528350e9ff8c72f952c6a563f244b3de42a6eeb2

Observation d959d72c-dc37-4da6-843d-a28c1e36f6ab · inbound

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights DoGE: Domain Reweighting with Generalization Estimation

Reference 23

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no resolver link, observed 2026-08-10T21:02:00.922110Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:00.922110Z digest=sha256:2d93b9baeabf17b91ed8cb3b2bfc5ebc979acc3adf360e1b66d11879ced640ca

Observation 31ea5bb9-cd7b-43de-8a41-6cceb8cb0e22 · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks DoGE: Domain Reweighting with Generalization Estimation

Reference 5

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arxiv_id, observed 2026-05-23T04:02:30.403038Z

Source-reported events for the cited work

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

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Observation 253c7a5c-2696-4055-82b8-a1b0bab31ecc · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging DoGE: Domain Reweighting with Generalization Estimation

Reference 11

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no resolver link, observed 2026-08-09T14:27:57.431339Z

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source=arxiv_source observed=2026-08-09T14:27:57.431339Z digest=sha256:d401e59e0285316107d739d5b8fb1db43666de5a8982271e64689d4393615b24

Observation 3f6c144d-914d-4cbb-aa39-1971afbec914 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report DoGE: Domain Reweighting with Generalization Estimation

Reference 61

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no resolver link, observed 2026-08-08T04:58:32.207628Z

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Observation 0e69eb72-b581-491f-aef7-6907b899adb2 · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report DoGE: Domain Reweighting with Generalization Estimation

Reference 13

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arxiv_id, observed 2026-05-09T06:35:28.492131Z

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

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Observation 7fe996f9-91aa-4d5b-8d92-a85e9fb122ed · inbound

Merge to Mix: Mixing Datasets via Model Merging cites this paper.

Merge to Mix: Mixing Datasets via Model Merging DoGE: Domain Reweighting with Generalization Estimation

Reference 17

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Observation 6d6104bd-1540-4835-b0ce-e9c371302825 · inbound

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

A Survey of LLM $\times$ DATA DoGE: Domain Reweighting with Generalization Estimation

Reference 135

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source=pdf_text observed=2026-08-07T14:33:13.058223Z digest=sha256:962e5a8ab19aabf2c6b757f14a69af28ea10f56fd35c0399a8e35dc5f2e5b9bf

Observation eb274786-b2dd-4323-ac48-42b72e660c48 · inbound

ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining cites this paper.

ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining DoGE: Domain Reweighting with Generalization Estimation

Reference 15

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Observation 59c3bb8f-c3bd-49c5-977d-081837ee815c · inbound

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining cites this paper.

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining DoGE: Domain Reweighting with Generalization Estimation

Reference 5

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Observation a7412de9-a583-4bf4-8cec-43376413809c · inbound

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning cites this paper.

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning DoGE: Domain Reweighting with Generalization Estimation

Reference 2023

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Observation 87cb0481-1866-4cfe-b0eb-202b06052e3c · inbound

Assessing the Role of Data Quality in Training Bilingual Language Models cites this paper.

Assessing the Role of Data Quality in Training Bilingual Language Models DoGE: Domain Reweighting with Generalization Estimation

Reference 15

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no resolver link, observed 2026-08-07T00:42:57.723303Z

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source=arxiv_source observed=2026-08-07T00:42:57.723303Z digest=sha256:b01f6749cf0e34f083e0ac5dfca84550f70e8bce9fb29ce4c65cc3601c5c0b90

Observation 508bcc58-c794-498b-b82c-c6a3a224f40b · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks DoGE: Domain Reweighting with Generalization Estimation

Reference 35

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no resolver link, observed 2026-08-06T16:53:09.681117Z

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source=arxiv_source observed=2026-08-06T16:53:09.681117Z digest=sha256:a63fbe2cd2ebe942555847cdbed82a13380465946a154e34a7898ca3003afa3c

Observation 20364c03-6812-40b0-a322-477384ea3c35 · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications DoGE: Domain Reweighting with Generalization Estimation

Reference 20

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no resolver link, observed 2026-08-05T17:26:28.822567Z

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Observation 95db6ff2-39a0-4749-87cb-42cec357cb8d · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining DoGE: Domain Reweighting with Generalization Estimation

Reference 21

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no resolver link, observed 2026-08-04T11:16:09.547484Z

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source=arxiv_source observed=2026-08-04T11:16:09.547484Z digest=sha256:834f95fe6c8b8214d71edc486ab7992bd1b0dd7b89f1214f3afd1ceb193acd27

Observation 69fc3645-77f9-409b-aa8f-c51b2d80938d · inbound

Procedural Pretraining: Warming Up Language Models with Abstract Data cites this paper.

Procedural Pretraining: Warming Up Language Models with Abstract Data DoGE: Domain Reweighting with Generalization Estimation

Reference 2025

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Observation 3e90dcf9-4d61-4d34-8fcf-804d7f4a3014 · inbound

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks DoGE: Domain Reweighting with Generalization Estimation

Reference 30

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source=pdf_text observed=2026-08-03T04:17:27.173478Z digest=sha256:0ba9f397bca5010389965a5bb33f02a524b1eaafcc3192ecfb989cf673e26d99

Observation 1ce2030e-a07b-4200-81da-e2f4711a2998 · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems DoGE: Domain Reweighting with Generalization Estimation

Reference 17

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arxiv_id, observed 2026-05-11T06:56:02.228988Z

Source-reported events for the cited work

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

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Observation 76ec9131-0844-4027-8ad3-3c12d15ed7b7 · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts DoGE: Domain Reweighting with Generalization Estimation

Reference 23

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arxiv_id, observed 2026-05-11T06:15:58.891380Z

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

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Observation 2af674b5-abf9-4948-aa15-1b45113e6b0b · inbound

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization cites this paper.

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization DoGE: Domain Reweighting with Generalization Estimation

Reference 12

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arxiv_id, observed 2026-05-12T05:56:26.614355Z

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

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Observation cf2d659c-ce7e-46c2-866c-0edb0849dc76 · inbound

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization cites this paper.

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization DoGE: Domain Reweighting with Generalization Estimation

Reference 12

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arxiv_id, observed 2026-05-13T06:22:23.337367Z

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

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Observation 2c7a25d6-515f-4f4b-84cf-9f872e788598 · inbound

On the Difficulty of Learning a Meta-network for Training Data Selection cites this paper.

On the Difficulty of Learning a Meta-network for Training Data Selection DoGE: Domain Reweighting with Generalization Estimation

Reference 51

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arxiv_id, observed 2026-06-28T19:22:34.801323Z

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

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Observation fecef004-9f40-46c6-8c35-0b9e2f250760 · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios DoGE: Domain Reweighting with Generalization Estimation

Reference 5

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arxiv_id, observed 2026-07-03T17:58:46.765477Z

Source-reported events for the cited work

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

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Observation 2f086de1-d48e-434e-9b24-b4b1eb57ce2e · inbound

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora cites this paper.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora DoGE: Domain Reweighting with Generalization Estimation

Reference 23

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