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Paper Citation Record · LEDGER

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2508.05387.

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

pith.paper-citation-record.v1
2508.05387 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:26:57.319056Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:32:41.151927Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e97483cd-1929-4317-bbc8-0b9dd5bdb57c · outbound

This paper cites Brockman, V.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Brockman, V

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:57.451393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.278673Z digest=sha256:476de1d3bdd082d00e775202b2468fc22da826727a32d613feb3cf3d84236419

Observation aa923262-cd37-4616-97a3-ff9066f9fe05 · outbound

This paper cites an unresolved cited work.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:57.442223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.282597Z digest=sha256:9034baf00185ac1691815a211cb23c7333230adf81942ca45687163d4002e3b9

Observation 701c1541-e7d0-41fd-a29a-e38fe6845a5e · outbound

This paper cites an unresolved cited work.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:57.432278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.285890Z digest=sha256:3eb42082522265df661a7c4da92696f35d89c433d9c36cd35248770d63b8bfaf

Observation 89931a4f-3061-4b51-b1a4-88e5d31e2ca3 · outbound

This paper cites Hendrycks, C.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Hendrycks, C

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:57.289099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:57.289099Z digest=sha256:ae326b7a560a6d4b12f7d534fec98da9aea4a2b21fbfbf5441402965a726ad6c

Observation ebffbd85-0102-4eb2-80f4-c5723d037b8f · outbound

This paper cites Junghanns and J.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Junghanns and J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:57.417576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.292396Z digest=sha256:f6f7695b7ef0e6a95093a3ebd9b016fc326bc180023aada25a6c81514e11c414

Observation ebec0cb7-c5bb-4b9f-a943-7bd1ce1b6bea · outbound

This paper cites an unresolved cited work.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:57.406593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.295642Z digest=sha256:5ff483e4cc133d2e4892fc65c5d2e31853ff48f047c6331bf7bc64c60f427fe8

Observation 7aa09b0c-39c7-4cdc-b90e-2b0532a3caa4 · outbound

This paper cites Lewkowycz, A.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Lewkowycz, A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:57.396487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.299277Z digest=sha256:755206bc2cff97e11d8523fa7cc3fe2fec44833bf4e9518256dd462a7408580b

Observation d0b6c00d-1493-4138-9ab7-1c3a80e6d254 · outbound

This paper cites an unresolved cited work.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:57.387219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.302192Z digest=sha256:27d22b9373451404427d1e016c8be5360d6b2433a492cde8a3f0f458d6568018

Observation e9fd6f67-6fe4-4b2f-bd28-5e7646b8dcfb · outbound

This paper cites Ouyang, J.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Ouyang, J

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:57.305766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:57.305766Z digest=sha256:d1f7029fd359982ae7109e45875e983e184fe9bd21ac7736072c55b693362fa4

Observation 4eb2a906-7bff-4824-8e21-2be23840ec5c · outbound

This paper cites Rafailov, A.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Rafailov, A

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:57.372934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.309432Z digest=sha256:384bd17234ceec733d41f6bdfafbf020a7150bfbc935c2e669ebfa0ade276ed6

Observation 4f2e5bc2-80ac-4a6d-bb62-f722ea40d665 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms HybridFlow: A Flexible and Efficient RLHF Framework

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:57.312414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:57.312414Z digest=sha256:7abfaf7321f1a9be520cd814f9019ac0d5342d8a627c969edd9a3460c769042b

Observation ba161100-6bad-4f43-9720-efa91355427d · outbound

This paper cites an unresolved cited work.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:57.363353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:26:57.315973Z digest=sha256:9e7650c67889cd9f776a4ce0d6fa84c33b427c3eb13835513ecb4d668e7311d7

Observation c2e9a5d5-ed78-4f19-9f40-9bf2c675bda2 · outbound

This paper cites DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:57.319056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:57.319056Z digest=sha256:58e3b3b03f3dda0fdeb53142feb5e0710a14727350bc05577170bdb5b5e3d77e

Pith citing papers

Observation fae02c87-3c7d-444a-9f1d-ee03fb58aea1 · inbound

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning cites this paper.

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:41.151927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:41.151927Z digest=sha256:dc45c8e43936c8c489f842c217325c3d58e6d87ef0da7fc5c7c30e82f2725492