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Paper Citation Record · LEDGER

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.29078.

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

pith.paper-citation-record.v1
2607.29078 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:06:37.146320Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation c0dd18c9-a40d-4b48-9eda-b3c9ad267c3b · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation ReAct: Synergizing reasoning and acting in language models,

Reference 1

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source=pdf_text observed=2026-08-03T14:06:37.072991Z digest=sha256:2321622f59b16e42b1ad0860396d6d4e8b0361f21659c9901542f102e8b959fd

Observation b283051f-0900-4432-8ac3-ec4cd498b4c4 · outbound

This paper cites ScienceWorld: Is your agent smarter than a 5th grader?.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation ScienceWorld: Is your agent smarter than a 5th grader?

Reference 2

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source=pdf_text observed=2026-08-03T14:06:37.077093Z digest=sha256:cb001e6066c0995eb005fd4fdb61d14684268d3a303f379e00548279c1c69f15

Observation f6b7f3d9-595d-41b5-9435-84cd6ab76bb0 · outbound

This paper cites WebShop: Towards scalable real-world web interaction with grounded language agents,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation WebShop: Towards scalable real-world web interaction with grounded language agents,

Reference 3

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source=pdf_text observed=2026-08-03T14:06:37.080207Z digest=sha256:4b8a00ebc702d944c322a9e94ff94a46248f59fb5362bb0e870279c9c0e1bbfe

Observation c7957476-63b8-48d5-96d0-fbcb7b36c7d3 · outbound

This paper cites FrugalGPT: How to use large language models while reducing cost and improving performance,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation FrugalGPT: How to use large language models while reducing cost and improving performance,

Reference 4

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source=pdf_text observed=2026-08-03T14:06:37.083270Z digest=sha256:2ada5baf4adc98413164e4829cea45519649779e8cdda844adff2c806b3d2b43

Observation 9a934812-140b-4f8e-8389-bc5c41d32f4e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Distilling the Knowledge in a Neural Network

Reference 5

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source=pdf_text observed=2026-08-03T14:06:37.086500Z digest=sha256:4643ef405a9b1dff961e4e6e0df546016b74c6bd1f12afc62ff37549cefe9b83

Observation a7ad1d76-a793-405a-a223-0cc983469981 · outbound

This paper cites Sequence-level knowledge distillation,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Sequence-level knowledge distillation,

Reference 6

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source=pdf_text observed=2026-08-03T14:06:37.090133Z digest=sha256:a8de0025961bba8bf3a17d6c491cc4cdfdc4a02115c3aac755ebb3dc49cafd5e

Observation 28a95aed-37e6-47bd-a80b-6607e28bf713 · outbound

This paper cites MiniLLM: Knowledge distillation of large language models,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation MiniLLM: Knowledge distillation of large language models,

Reference 7

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source=pdf_text observed=2026-08-03T14:06:37.093224Z digest=sha256:ea8947de34b663da71c854913317e241b86c8a1343004f2cbb00fccef8e51c14

Observation 8d5968c9-eace-4b63-92f8-af6d37d17293 · outbound

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

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation On-policy distillation of language models: Learning from self-generated mistakes,

Reference 8

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source=pdf_text observed=2026-08-03T14:06:37.095971Z digest=sha256:ce0f5c2567a0bc3f8aa82033e93145b5a32c5ac33e9d8e49eac48e923c82aa0d

Observation a8a3ad13-26dd-4f2f-b4de-d371f204aa2a · outbound

This paper cites On-policy distillation with curriculum turn-level guidance for multi-turn agents,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation On-policy distillation with curriculum turn-level guidance for multi-turn agents,

Reference 10

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source=pdf_text observed=2026-08-03T14:06:37.104684Z digest=sha256:70c32dc7cb56affab8f3bbdcde3188795ef19ebfb7831258fbcd497c08fba8b2

Observation 6facf001-7b47-4431-9ae4-fcd8b922653f · outbound

This paper cites ThriftyDAgger: Budget-aware novelty and risk gating for interactive imitation learning,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation ThriftyDAgger: Budget-aware novelty and risk gating for interactive imitation learning,

Reference 11

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source=pdf_text observed=2026-08-03T14:06:37.107862Z digest=sha256:9d8257e63f2c19657ad06ee6d2397a8b378adc148e9b76560326de514cf059a6

Observation 2270f170-fff2-4836-8d25-63b78b8d1805 · outbound

This paper cites Robot-gated interactive imitation learning with adaptive intervention mechanism,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Robot-gated interactive imitation learning with adaptive intervention mechanism,

Reference 12

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source=pdf_text observed=2026-08-03T14:06:37.111022Z digest=sha256:d6b443caccbb2fb57f94c8b5a1a29451c56be233f9858f07cd765249f68c76f7

Observation 79757423-e27d-4be7-b58a-085df8f9fd38 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 13

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source=pdf_text observed=2026-08-03T14:06:37.113774Z digest=sha256:88e02b0f4244361550128924fa09a7a7774541c4684e46d1bedaa1195fc3bffd

Observation b92a4689-4b81-465a-a67f-1ab914e64891 · outbound

This paper cites Curriculum learning,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Curriculum learning,

Reference 14

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source=pdf_text observed=2026-08-03T14:06:37.116894Z digest=sha256:7b4fffa493312f286c9efced08234a558e9f27f3999facaede2bbba3ea55a60b

Observation f435452f-5f08-4d59-89e1-438ff68ecae6 · outbound

This paper cites TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training

Reference 15

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source=pdf_text observed=2026-08-03T14:06:37.119843Z digest=sha256:e0ee6482304278ad6196a89a97e45a0865fac41d1f50d8d2a95182d843f8ec0b

Observation d09cabfe-e9fb-48cd-8571-912c7dc290c8 · outbound

This paper cites SWITCH: Studying with teacher for knowledge distillation of large language models,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation SWITCH: Studying with teacher for knowledge distillation of large language models,

Reference 16

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source=pdf_text observed=2026-08-03T14:06:37.122839Z digest=sha256:1c1438762d7b4eaf94d78b9557fcb0cb4ccc0339ff77f76210ec89e4c6267227

Observation c3f18fd3-5465-4a44-aea0-d4c1e6a816ce · outbound

This paper cites AdaSwitch: Balancing exploration and guidance in knowledge distillation via adaptive switching,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation AdaSwitch: Balancing exploration and guidance in knowledge distillation via adaptive switching,

Reference 17

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source=pdf_text observed=2026-08-03T14:06:37.125749Z digest=sha256:48708e97e2af0cc585bf854cef1ae4fe9c67f32b257fc5cfb5076271427a738d

Observation f9e05e5f-7da8-45ef-ac01-2995790af469 · outbound

This paper cites Are Full Rollouts Necessary for On-Policy Distillation?.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Are Full Rollouts Necessary for On-Policy Distillation?

Reference 18

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Observation d86e0c91-f9ca-4d38-aecb-a5477e13d40b · outbound

This paper cites Less is More: Early Stopping Rollout for On-Policy Distillation.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Less is More: Early Stopping Rollout for On-Policy Distillation

Reference 19

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source=pdf_text observed=2026-08-03T14:06:37.131756Z digest=sha256:2098fe336bb69411e9d5e7a010b2898c7b2da6a1e43576b90923456122b34d4c

Observation 5f677208-344e-482c-8014-11a84f809589 · outbound

This paper cites AgentBench: Evaluating LLMs as agents,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation AgentBench: Evaluating LLMs as agents,

Reference 20

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Observation a369ab67-1ba5-49ef-853c-fa63e4937c11 · outbound

This paper cites On information and sufficiency,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation On information and sufficiency,

Reference 21

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Observation 9d23c1fc-d75a-481c-8304-05df60a88207 · outbound

This paper cites Note on a method for calculating corrected sums of squares and products,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Note on a method for calculating corrected sums of squares and products,

Reference 22

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Observation a42577ba-52fa-4cb8-bfc5-9a25a5642798 · outbound

This paper cites Continuous inspection schemes,.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Continuous inspection schemes,

Reference 23

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source=pdf_text observed=2026-08-03T14:06:37.143483Z digest=sha256:75bedf63c68cca7d2b5f6260e7dd7e892ed4abeae258ae26c90a4f92759ef98a

Observation a861d979-b6df-400d-bdf4-7323a31c9cd4 · outbound

This paper cites Qwen3 Technical Report.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation Qwen3 Technical Report

Reference 24

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Observation 93e6c370-95e3-40c4-8e9c-f84cf67c79bc · outbound

This paper cites TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents.

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents

Reference 2026

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source=pdf_text observed=2026-08-03T14:06:37.101854Z digest=sha256:0c321a28475933580cc83daf230a9133f70ed3543069a6ab1b3cf1c293429528

Pith citing papers

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