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Paper Citation Record · LEDGER

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.19345.

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

pith.paper-citation-record.v1
2607.19345 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:57:53.900522Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

17 of 17 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84590df9-19fe-478e-a049-c88e4af75d01 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:52.735181Z digest=sha256:89d0f0a5304590baf21e8e1b665ad0e9917f54e9e2f15e5ffe3e56128c81642c

Observation 3217cb1c-4ebc-41ec-b07c-f5541e0475be · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 4

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no resolver link, observed 2026-08-03T01:57:52.830860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:52.830860Z digest=sha256:01ea2162e18c11b0ff780997a6f4126f35cf877934c40abae07a92949eb099aa

Observation 6000c2f2-0630-44dd-a82a-e1233b0c3083 · outbound

This paper cites GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

Reference 6

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no resolver link, observed 2026-08-03T01:57:52.956024Z

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source=pdf_text observed=2026-08-03T01:57:52.956024Z digest=sha256:f208169a097560aa0893cf13addbd94ea987c6d11e0052a8606b68a7cf062821

Observation ce1fa072-3572-4f6f-9430-d5a942227d82 · outbound

This paper cites Repetitions are not all alike: distinct mechanisms sustain repetition in language models.arXiv preprint arXiv:2504.01100,.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Repetitions are not all alike: distinct mechanisms sustain repetition in language models.arXiv preprint arXiv:2504.01100,

Reference 7

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no resolver link, observed 2026-08-03T01:57:53.120392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.120392Z digest=sha256:0f4f46b3732cc235c57231ce84cd4edaf3e98742d4918925fb6720592162f957

Observation 3fc7fc21-434e-453d-a4d1-64a107662913 · outbound

This paper cites Longr: Unleashing long-context reasoning via reinforcement learning with dense utility rewards.arXiv preprint arXiv:2602.05758,.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Longr: Unleashing long-context reasoning via reinforcement learning with dense utility rewards.arXiv preprint arXiv:2602.05758,

Reference 8

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no resolver link, observed 2026-08-03T01:57:53.213084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.213084Z digest=sha256:bac951b4e7f5b075ce9115f9e2d13f43efa4a90ae67c3953f04c2eba1f8e3928

Observation 96aab3d0-6f0c-4f56-961c-8987d4268782 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

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no resolver link, observed 2026-08-03T01:57:53.312482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.312482Z digest=sha256:635b6817b3b722aa538cfca7dc7792b4ea4fa9970ebfd9824123c6777eb7d726

Observation 9f3e8f69-c2da-48ed-90f6-f9289cc9115d · outbound

This paper cites QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.449669Z digest=sha256:1e6f5a8d16fc849a64be5f320ce275bbce661da8951981a64a86c3a5a9f2f507

Observation 99eb4bb8-c2c7-4118-bdcf-8d401a0854ff · outbound

This paper cites Loongrl: Reinforcement learning for advanced reasoning over long contexts.arXiv preprint arXiv:2510.19363,.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Loongrl: Reinforcement learning for advanced reasoning over long contexts.arXiv preprint arXiv:2510.19363,

Reference 12

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source=pdf_text observed=2026-08-03T01:57:53.517162Z digest=sha256:2ba0ff8d817630e648ac05a59e031aff820a824b27ab32f92f6349aa1b1488b4

Observation 64982ee7-29d7-4df9-a880-a9c758813d0e · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 13

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source=pdf_text observed=2026-08-03T01:57:53.565163Z digest=sha256:415a4c3731305ae13f2e94dc3bcf7e75793f3ef43a79181f3ec8b47d7bad8559

Observation 5079854d-f96a-46f9-8cd0-a4619d78e47f · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 14

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source=pdf_text observed=2026-08-03T01:57:53.679048Z digest=sha256:e822d59eada18539fb29b2595985ace57c3ef505827adefcbd88981b4aefd661

Observation a7ddcd53-1958-4a1b-b10b-fc97aafe2cb3 · outbound

This paper cites Qwen3 Technical Report.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Qwen3 Technical Report

Reference 15

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no resolver link, observed 2026-08-03T01:57:53.764669Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.764669Z digest=sha256:6478007fe690b90b0d0c852e93de1f41b35a692af852391c18d6d0c166ae187d

Observation b24dbb89-1a3f-4931-9a84-47e8a977714b · outbound

This paper cites RLPR: Extrapolating RLVR to General Domains without Verifiers.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning RLPR: Extrapolating RLVR to General Domains without Verifiers

Reference 16

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no resolver link, observed 2026-08-03T01:57:53.821375Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.821375Z digest=sha256:24247501b192f7b00a8dd3634f6b3ad3109a856cc44403862763526ab8e28809

Observation 3a8dba01-3ae5-4436-b557-10af259cd432 · outbound

This paper cites GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 17

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no resolver link, observed 2026-08-03T01:57:53.900522Z

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source=pdf_text observed=2026-08-03T01:57:53.900522Z digest=sha256:acdfd4f9fdf83a6b0a1231fe06610e8a7dea64505a6f952af9493f3cb6c39f55

Observation 3fee3836-a0db-4ff0-be86-1855693a02d9 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 2023

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no resolver link, observed 2026-08-03T01:57:52.894813Z

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source=pdf_text observed=2026-08-03T01:57:52.894813Z digest=sha256:09fff7741e3abcdac65d6ef210b39e90035aacd52a8f09057ce56b0260243fac

Observation 0dd219aa-1670-4bf7-9b75-ecf43475263e · outbound

This paper cites Qwenlong-l1.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Qwenlong-l1

Reference 2024

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no resolver link, observed 2026-08-03T01:57:53.382770Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:53.382770Z digest=sha256:4e7d24b239fc064b19dc14585d93067d24c9bc328cde8d0a3d17c688c9360ef2

Observation aacc4f49-80c7-415e-b89e-96636788420f · outbound

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

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2025

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no resolver link, observed 2026-08-03T01:57:52.624699Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:57:52.624699Z digest=sha256:be108b267f89a29a981e16f4138af3af6b1bede087edb0b31b23ee6492bf1156

Observation b9247485-7d83-4127-8e3d-a6f5433680ab · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2026

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source=pdf_text observed=2026-08-03T01:57:52.525886Z digest=sha256:6e40e5414126e5ca865965db556059abb194401feb323286a40b33d8d064dae6

Pith citing papers

No inbound Pith citation observations are available.