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Paper Citation Record · LEDGER

H$^2$SD: Hybrid Hindsight Self-Distillation

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.18955.

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

pith.paper-citation-record.v1
2607.18955 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:52:50.045977Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5131dbe-76b6-47fe-a677-00b40c88e99e · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

H$^2$SD: Hybrid Hindsight Self-Distillation On-policy distillation of language models: Learning from self-generated mistakes

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:52:48.502400Z digest=sha256:64364502b38b4686c45f7190933927114f366cd832f2b396762c7763c539bfe7

Observation 5a9cbc1d-26df-44ba-8a7a-86e97f0ec656 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

H$^2$SD: Hybrid Hindsight Self-Distillation Minillm: Knowledge distillation of large language models

Reference 2

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source=pdf_text observed=2026-08-01T13:52:48.586186Z digest=sha256:5df385919532a57450d2580111871fc3e99906aab7ed9b9f3c2ba8fdb951c67c

Observation e1095d9a-0cba-48d4-b4c0-834c5cf64475 · outbound

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

H$^2$SD: Hybrid Hindsight Self-Distillation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

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source=pdf_text observed=2026-08-01T13:52:48.656676Z digest=sha256:d519f5f4c003950120e1c1fe8c35cbea9ed0de6f38c64a7061a00b7e9e3c9ab3

Observation 2d092b8c-e32a-409c-9677-9f0c6d42335d · outbound

This paper cites Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision.

H$^2$SD: Hybrid Hindsight Self-Distillation Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision

Reference 4

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source=pdf_text observed=2026-08-01T13:52:48.709950Z digest=sha256:b18e75ef31e1c57f4ae8443cefa4bc426172e5d570b4903e254d240b1fa1281b

Observation e331cbeb-d053-4a43-b835-8a72ecaea650 · outbound

This paper cites CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization.

H$^2$SD: Hybrid Hindsight Self-Distillation CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization

Reference 5

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source=pdf_text observed=2026-08-01T13:52:48.791895Z digest=sha256:29e5bad4db098f44bcc201f34cf87a7bf4d59bb284f1cf1be7996a869b4c87e5

Observation e3442edd-2be9-4665-8dcb-2fe9340600af · outbound

This paper cites Reinforcement Learning via Self-Distillation.

H$^2$SD: Hybrid Hindsight Self-Distillation Reinforcement Learning via Self-Distillation

Reference 6

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source=pdf_text observed=2026-08-01T13:52:48.853688Z digest=sha256:4d80f1e04d7127e894b0f2b875029a829f4bf4f04bb60ddad7546e535fc0d78d

Observation 15a11971-8ffd-48eb-b8f1-98751d0ce6e1 · outbound

This paper cites Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning.

H$^2$SD: Hybrid Hindsight Self-Distillation Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning

Reference 7

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source=pdf_text observed=2026-08-01T13:52:48.945546Z digest=sha256:68e0919606746021f95101502c14474187cf6a01d2ad175f137fb80496a6fc7e

Observation f0c3f777-8e39-45b3-890d-6ff742a3fd0f · outbound

This paper cites Uni- fying group-relative and self-distillation policy optimization via sample routing.arXiv preprint arXiv:2604.02288, 2026.

H$^2$SD: Hybrid Hindsight Self-Distillation Uni- fying group-relative and self-distillation policy optimization via sample routing.arXiv preprint arXiv:2604.02288, 2026

Reference 8

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source=pdf_text observed=2026-08-01T13:52:49.029539Z digest=sha256:2f32faba6e110e482539950389aef3c99f49dd48a54487d4e702c86e73c17f68

Observation e8d2fc97-d1e1-45c2-985b-edf2ec06025b · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

H$^2$SD: Hybrid Hindsight Self-Distillation ToRL: Scaling Tool-Integrated RL

Reference 9

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source=pdf_text observed=2026-08-01T13:52:49.091047Z digest=sha256:bfc4164aa6ac9d581f5d0b50167941f57eda9ff25dec1c6e0dd8f52d3d015f34

Observation 9a5b09ea-f996-4709-8787-75471d4942ff · outbound

This paper cites On-policy distillation.Think- ing Machines Lab: Connectionism, 2025.

H$^2$SD: Hybrid Hindsight Self-Distillation On-policy distillation.Think- ing Machines Lab: Connectionism, 2025

Reference 10

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source=pdf_text observed=2026-08-01T13:52:49.183145Z digest=sha256:1ba6e3380193aad15a3567b2ffa67bbf371b9c28196c958b57f7e1b66f1efc36

Observation e4e98353-b766-4dd7-8341-bfd0eca2f839 · outbound

This paper cites Toolrl: Reward is all tool learning needs.Advances in Neural Information Processing Systems, 38:105523–105553, 2026.

H$^2$SD: Hybrid Hindsight Self-Distillation Toolrl: Reward is all tool learning needs.Advances in Neural Information Processing Systems, 38:105523–105553, 2026

Reference 11

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source=pdf_text observed=2026-08-01T13:52:49.233869Z digest=sha256:e310b978c25227fc347aaf26d470580f2983d72ee1fc499efaf164155a3071cb

Observation 05194f46-f4da-41c5-ae84-c648e00c0791 · outbound

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

H$^2$SD: Hybrid Hindsight Self-Distillation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

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source=pdf_text observed=2026-08-01T13:52:49.318427Z digest=sha256:ef50e9b4b6e586170fa4055fa5a49ee9a9251d9811e10005823a73d22f016e11

Observation 00595e38-4215-4897-b4ac-3cb8dcc77764 · outbound

This paper cites Self-Distillation Enables Continual Learning.

H$^2$SD: Hybrid Hindsight Self-Distillation Self-Distillation Enables Continual Learning

Reference 13

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source=pdf_text observed=2026-08-01T13:52:49.395605Z digest=sha256:e715ef3c8b88edbaf8c010e177cb33db0f3e9b02781a39cf7195214695b80592

Observation e6cc269f-a96a-49f0-aa29-8cb4a4eb6e09 · outbound

This paper cites Gates: Self-distillation under privileged con- text with consensus gating.arXiv preprint arXiv:2602.20574, 2026.

H$^2$SD: Hybrid Hindsight Self-Distillation Gates: Self-distillation under privileged con- text with consensus gating.arXiv preprint arXiv:2602.20574, 2026

Reference 14

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source=pdf_text observed=2026-08-01T13:52:49.453792Z digest=sha256:377ccf63541fd504cfa9696b555153afda1a17e4b26538fa8b572f1f1b65739d

Observation 95dbc2be-45c0-4d47-97c8-211ed39a0326 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

H$^2$SD: Hybrid Hindsight Self-Distillation Kimi K2.5: Visual Agentic Intelligence

Reference 15

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source=pdf_text observed=2026-08-01T13:52:49.510810Z digest=sha256:7275481ada0acbc070880a4b4682a95189c5c6e3630becd3e265b5ae0e43a143

Observation 929a727b-311c-497e-b7a1-c790f0df8aa9 · outbound

This paper cites Qwen3 Technical Report.

H$^2$SD: Hybrid Hindsight Self-Distillation Qwen3 Technical Report

Reference 16

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source=pdf_text observed=2026-08-01T13:52:49.566182Z digest=sha256:d481aad5ff1b1774c75d18741fd4453c4fdc13299d00f04fa181dbe78f22c9d7

Observation 6e4a0a7f-1a28-4f09-a16c-fb786e6c38b0 · outbound

This paper cites Self-Distilled RLVR.

H$^2$SD: Hybrid Hindsight Self-Distillation Self-Distilled RLVR

Reference 17

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source=pdf_text observed=2026-08-01T13:52:49.623987Z digest=sha256:3dc2cda596fd528697f648114cc8ba2de15e57e28e1ad0fca27701af05bcf303

Observation ca8b193c-0077-4fd7-8d9b-838b11680538 · outbound

This paper cites On-Policy Context Distillation for Language Models.

H$^2$SD: Hybrid Hindsight Self-Distillation On-Policy Context Distillation for Language Models

Reference 18

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source=pdf_text observed=2026-08-01T13:52:49.709438Z digest=sha256:19690892c0a320d7568a88bf69c2df0fe0bd2f6d0de50e40e4f1905b047a7e73

Observation 3ba5e344-b0ff-4942-a3ce-979918ae3cec · outbound

This paper cites Dapo: An open-source llm reinforcement learn- ing system at scale.Advances in Neural Infor- mation Processing Systems, 38:113222–113244,.

H$^2$SD: Hybrid Hindsight Self-Distillation Dapo: An open-source llm reinforcement learn- ing system at scale.Advances in Neural Infor- mation Processing Systems, 38:113222–113244,

Reference 19

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source=pdf_text observed=2026-08-01T13:52:49.775645Z digest=sha256:843779464f0a0bf566a4b4cd7ad035ccd71971d05a88397918112f4436d86bf6

Observation 6fc3b204-c45f-4fd7-96b2-303a9cc1f675 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

H$^2$SD: Hybrid Hindsight Self-Distillation GLM-5: from Vibe Coding to Agentic Engineering

Reference 20

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source=pdf_text observed=2026-08-01T13:52:49.879899Z digest=sha256:c226fdab97842a07aa51eabc703124a7374200a9eaa9a9871acf1a9f2a85fe02

Observation 448d18c9-babe-4802-9c75-3608a7354dcc · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

H$^2$SD: Hybrid Hindsight Self-Distillation Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 21

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source=pdf_text observed=2026-08-01T13:52:49.965863Z digest=sha256:4cf25f66b123b96de13b80848d48a63f47686b785817a21d08de9f23fb3b008f

Observation 6905abb9-786c-4a81-ad23-4e3281f4dd3f · outbound

This paper cites Group Sequence Policy Optimization.

H$^2$SD: Hybrid Hindsight Self-Distillation Group Sequence Policy Optimization

Reference 22

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source=pdf_text observed=2026-08-01T13:52:50.045977Z digest=sha256:aeda6c978f44cda948e1b2a7e92aff4c443d412cfeb7be162459eb32c90ae991

Observation 0697a77c-2766-41f0-8637-356a0838c149 · outbound

This paper cites an unresolved cited work.

H$^2$SD: Hybrid Hindsight Self-Distillation Unresolved cited work

Reference 2026

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source=pdf_text observed=2026-08-01T13:52:49.826967Z digest=sha256:377b3dd9b5c25aa9607a46f976cc749a07f1f98dbcaf244d691c88b642fe525a

Pith citing papers

No inbound Pith citation observations are available.