Pith. sign in

Paper Citation Record · LEDGER

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

As of 3 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 7 inbound Pith citation observations for arXiv:2510.19225.

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

pith.paper-citation-record.v1
2510.19225 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:29:46.136115Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:42:35.589143Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T08:39:53.190263Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact17
  • verified fuzzy4
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 423a33f6-2789-4326-be84-a546ded17f73 · outbound

This paper cites Cluster Fragmentation.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Cluster Fragmentation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:30:55.626792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:0788e1cfa83eb9f6e2055b8022406175153877944252783a49db8dbfd9605ac0

Observation 9b2136f5-9539-41a7-9e31-80a398fc4cad · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.633811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b8fcb945091996355cdaa081b10a5b4e84601327de440d2d75895f791bf8885f

Observation 637e379d-e53f-4bf8-8fdc-6bca85b0a2ca · outbound

This paper cites Claude 4.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Claude 4

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:30:55.629355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ca78a0b597565ad94f286be6cadede6b8591e823ad674732966402bca5953bf5

Observation 257b253c-67d3-4610-a014-717b9b969836 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.637432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:143034944464e556428ffdee0e7f05bd28e4f73eff0715a1e8ca4685e419ddaa

Observation 2862a915-f6ab-4eb0-b10b-e42620e58d06 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.631593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:8eaae47c095a852485a51213bceb0a2ad34cb5cc64da5c6e311423eca64a34cb

Observation beeee007-1f3f-48d9-9226-d8d0f6eab16b · outbound

This paper cites Practical Tips for Preventing GPU Fragmentation for Vol- cano Scheduler.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Practical Tips for Preventing GPU Fragmentation for Vol- cano Scheduler

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:30:55.558122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:cb5dc6317523a21c1dd08acb22092d3353884a7a2ae994406e3cb8b3732ef82d

Observation d15728de-fe14-4576-adfb-c93ebeaa9249 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.620294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:c27163138ad87a92b01edb451cd43fc7c460aa96e012572f76105c99356434ba

Observation 957d9065-9d6e-4180-a19b-7854122a416d · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.576807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:9718e1476823438bf80f9b49e37b7b66694385180ee3c97601b4bd36bf86fd85

Observation cabd24e5-a541-4bde-931c-f58d2c6b22a0 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.572700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:9bbff11e26828185025a3c9327a9434d5bf993aa7a79f12f6e464ac6e18cd828

Observation dfc8bfee-2973-4ef5-ac6b-aeaf4c5df871 · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.176765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:94ecade5ade8f76433e4c57e1169f9c9650a9d0d0937827e2b8cdbb0089c4519

Observation 5e520cff-7d53-4400-a449-c0b8a2d83ddf · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.599094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:7e12868200c0b9a933674d5d208d49219e171e2d889dee6bd5dd2fc222180017

Observation 7e4fbd14-023c-41ec-9a28-d3da2d623370 · outbound

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

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.191637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:d79c6a9502b115e79aaa2c89824bd083f3393533560289355e36f482ab73d4d6

Observation 3a4bdb6b-ba2c-4804-8fd1-867d0c83c711 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.601198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:8992478f12d5d0954627328ef1be6ac9f082ca6fb8f85f934787a93e77990844

Observation 112883d0-6887-4de7-b4b7-899ef8ca68e7 · outbound

This paper cites AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.233504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:3f5af3e0bd8078763c278f6687bc98b1d985f9cc17092ae0625b45ba9d462849

Observation 6544ee94-daf3-4f84-9648-d15bc9cec45e · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.570552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b1f8130ba3e0e15468d19a35f069679223bd30b5830ba8ae63ae1809ecb88e13

Observation 3800836e-76ec-4e92-a022-d6015b1b7204 · outbound

This paper cites History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.188214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:6bdc3d8b5b597eac4919dc95903ba2c5f1c860978733d8196c08dcc8090b2b36

Observation 31a9f0a3-7836-4555-a88e-12f2e4d358f1 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.208183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b2e67c902054a28aea5d0783462ca70678f0ddaa32741e4e716693afe301ea63

Observation 9382e063-ca4c-492d-8754-d6a99b9902cc · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.622328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b3f7432aed04e98941885a13a7e661f32ed72f8147677e8617e4f6142446c18e

Observation 56fc4c1d-ef92-48ea-9d0c-3f7b79fa7b01 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.579022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:af9ed5456a30b7262e83bd5f7ca0f740075c9b4334933fc387eee85c91435607

Observation 235ff972-881a-4102-b5b7-268fd23e157c · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.574752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ebcde07dc666ff94c987e42e2c603705840c2bfc4964e833b8a91969785c1881

Observation 23006547-8d9f-47bc-8917-65f012bce416 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.611599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:5c771c569ccc36bc9478e6d4dc9552fcc742e8778627d17e9ccfe0de672a7ec1

Observation 5061157e-82de-4d52-acac-3464bbff90aa · outbound

This paper cites InProceedings of the 29th symposium on operating systems principles.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs InProceedings of the 29th symposium on operating systems principles

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:30:55.592807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:07e84797fd04d7e19d96169cb759e007d4cfa84ad482b6cbab15d31f31809379

Observation bb6d0632-5b22-4230-82aa-a5d2a8924111 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.568554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:9183b42e1fa9915a75a830180c91f2fa9f957cfb4be903eccbc798b74b17f0ed

Observation 988e7597-d628-4138-a630-031087b74ac7 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.624636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ec326d2709ba9aca13f3a66dbde51fb823767cc7c5b7687d1829826841f3ca1f

Observation 198a70ea-b922-4844-a5f0-0f76b8c98233 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.585735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:037167bca2567ae1a5aa1b1b87b5f3cf304bcf9db5ac64a13f5655d6824203f4

Observation 75919721-e841-4dd2-94d7-61c20a469f6e · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.562473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:6a2786527eeba527c9ec341306345e30cff3e6e792c38a1147dbcae77c4c6bce

Observation f10b5def-86f5-4c57-b9eb-399d0d438695 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.581326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:32bb812b62087d7659d8112552ef0b94b42543adac3208978fc91b02d22f2732

Observation 6ed8c2bf-9666-4e1d-a706-3d5fe06c220a · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.564617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b901cd473e45bb211b16a3b9143a639cab7bc2c83ba58df58f43cf566c12a098

Observation 95134791-18b3-4072-a888-65beb49dda52 · outbound

This paper cites OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.219555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:e514e7e96d95cff266bf7fbae14d58f0f15319b933796090189615c02c37e865

Observation 72a3281d-2337-4080-bc6b-04e6414dfb82 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.566517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:27f37815575e6793b5e8edeb4db571ed9e032e75d359b168c04995999d9dae42

Observation e5cb9022-16e3-47c7-91e8-e19d0c8b9a05 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.607509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b77635d48d1d0cc52fd2c16fee80d5c85ad0cc18f146aa219795e45c60b6014c

Observation 3216d57f-ca74-4212-99a4-3a0bd929a210 · outbound

This paper cites Proximal Policy Optimization Algorithms.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Proximal Policy Optimization Algorithms

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.169826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b756e84a96f96e3b35b272d8643fdbc8b6189dbcafd503f599fb995a359f8d2b

Observation 5230db82-2244-4b59-815c-a280dc64693b · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.605462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:339f2f103c7a3c0a0f86dcdc7b20ba6a3711bc62d855af55904cacf8ec0f5117

Observation 4a43df39-d55c-444e-a707-541e9fd19706 · outbound

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

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.198715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ccaaf90861a779f65cabc7d4656b7b5ab18aa791fffd69e9595395799b0b32c0

Observation ebe49702-74e0-46e6-9b87-78bf1d386461 · outbound

This paper cites NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.184777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:6a5cd0c6c7257d84102cb4c7fbc71fa9d06d8bbe967cd6296e463f6f4eacd02d

Observation 1582443d-d85e-4947-a340-4b3228d4e9bb · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.594879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:c0ad2f900b5022fbcbd46c1e992c8c11323d7d81b343e64af012430837682f16

Observation 2934a069-1c95-49d8-9444-6d95f9712d9f · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T05:30:55.216546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:c9c5be5020248dcacc70798ddd2721ca948ba09c13cfe85815951c187ac82f06

Observation b8c7d411-8f3e-4774-bf07-c5b2f3d24c74 · outbound

This paper cites Qwen3 Technical Report.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Qwen3 Technical Report

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.194958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ab59dc7cccdff8f9d9ea62f7e96c0bde0410d2cc5a48e8f2b39fef78c3c71dc2

Observation b0142fb2-ee5b-404b-a6e8-182b0a93362a · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.583610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:3c1067a41ffb1e0b7fbabd95785d2b84875e3e2db0157066e0c64dab8044fd68

Observation 279697a5-71c6-4a6c-a463-1d97098c67dc · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.587820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:ce5f31494a5687bc93d637cc3861120f1f7855993ded400373e8a5ea2dceb440

Observation 328a973a-1ce8-4489-8594-568816ddd32e · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.589953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:cec7fd04cd39206e7f862b75d900d44e59d65c71a443e2fd87daf6100e81da3d

Observation a38540cd-fdf0-4dd1-b31e-8870cc0684bd · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.597112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:a724c3117c896ff15d46f335e25b6d74ca98695457dcec23c3189a5be7b62ebb

Observation bb4a12ca-1e6e-45c4-bc23-978780e1ac06 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.603503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:bbd1ddc6cc3aac4f5563092a9f6de2b8ea33add7087887f9ae574df3e4d5a83c

Observation b9517b2d-b250-4828-8740-7ad0ec9ebd12 · outbound

This paper cites Lazarus: Resilient and elastic training of mixture-of-experts models with adaptive expert placement.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Lazarus: Resilient and elastic training of mixture-of-experts models with adaptive expert placement

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.212463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:a023c78596005d273ae07db60df3fa4294eb75e83665278dc3509d1b77f26319

Observation ae475a06-9561-4920-8d4e-6ca8119ca96f · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.613717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:a89d1918933d3260b8b4ca3556176dc65b8bd74ebe457769315487e8a6054228

Observation d3ee691f-6d74-477e-b2e1-c5b87c8ad401 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.180452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:4a43465d98ba8426096fdaf46e16ca3bb8c1de64014e3939d108fbf7d847015a

Observation bd6bbebc-25cf-4e91-80dd-8ff0aa869d19 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T05:30:55.173518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:71535f15906d7498a7ecf3cd03849ed0c7aab0e57b58b0d2e2ee5c850e9aaa2f

Observation 33355674-f339-43a5-a32e-ab5acf05a079 · outbound

This paper cites Geometric-mean policy optimization.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Geometric-mean policy optimization

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.204553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:7cb2e93a96bd6912520bd24ed73c3c4d51fa66913a4c1ecfa86a91212d77ed02

Observation 2ecf4baf-1581-47c5-bfc2-4894b466b4f1 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.609491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:6eaa538041ba6e15f40eb4b0e88f77a0a926cfcd4a6acde686ea64dc429b9090

Observation 44ae8061-d817-4ef5-8424-b6f767f6d934 · outbound

This paper cites DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:30:55.223085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:357c095395523571606859b7daf49b7207afed0442446de31133b579c3a07e95

Observation f21e5519-dcb7-4398-aabb-1c9b741d522e · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.616061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:88d4f88cf0de01cbb952f5b9701bb85a23526d92f43a0c0d8d1f5fe9bca180ab

Observation 74cff2a9-d30f-490e-bb5e-b9933ca563d1 · outbound

This paper cites StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.166777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:53da811cde940e5d0b5e1ddd3e2c07707c12ae2a2ff69298d5351183250851aa

Observation cfc82a25-6500-4303-ac17-6d1d88f0dca9 · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.618246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:b7f4d2499b86c5fc6b6a180d44d10fdd0667f4f62aa7ff3677f1b6be86f4dff3

Observation 2dc9d4be-4caa-4da0-98d4-aa11b890e697 · outbound

This paper cites Optimizing RLHF Training for Large Language Models with Stage Fusion.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Optimizing RLHF Training for Large Language Models with Stage Fusion

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.229732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:c14920c0f798375e5a7b1a5832d264670b4063004cb19e5b16877d897c26b7c2

Observation df998f68-4a2b-44f7-8386-e11527426948 · outbound

This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.226541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:282b2567960c655a547b30986a9a616ecbe043e931419662912af838beefc617

Observation 44090378-4f50-4280-8b8c-409854e7d69a · outbound

This paper cites an unresolved cited work.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:30:55.560264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:97d16b8bcbcc3691309cfd0ed0ec8b2737ebfd54638e3406838dcdcb307f55b5

Pith citing papers

Observation 685d405b-63c7-447e-b362-7bcee6e66df9 · inbound

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning cites this paper.

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:40:14.539973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T20:38:30.169363Z digest=sha256:6687111b3f7103f73d5ffa50a904922f07425d665295290db8e3d0c5682d6160

Observation e495facd-1d90-4ca3-b2eb-153d151ebfb0 · inbound

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training cites this paper.

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T07:11:00.493598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T17:16:33.020610Z digest=sha256:4f377daef35f5cd9574dd956f5c5a14fd3734316f9a5689d690344f445dc169d

Observation 8542cd7e-c8d7-4a3e-a071-7bc0d6cc42bd · inbound

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training cites this paper.

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-11T21:11:12.345905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T06:36:33.914193Z digest=sha256:4ee7befae92e949ec7dd497b37f0f8af4f35de224638779dc6e61595c1946dee

Observation c8484406-2043-4097-95c9-6fe822898a78 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 77

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T21:31:16.421375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T05:14:14.168753Z digest=sha256:5576d1ccd322d7637610dfa215b4c8247379e120a85227b884918c6eca4fb7e3

Observation 07c4c85e-3489-4c37-935a-494b0781c983 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 76

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T08:39:53.192515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T08:39:31.911497Z digest=sha256:d3769fb3ff966e8787490c4c3b5a17f0bd7b8f86a20334ac8f3d13a571c48f11

Observation d4c13c69-fe25-43b0-a6fd-5dc55bdb2550 · inbound

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs cites this paper.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:13:43.876213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T20:10:32.300423Z digest=sha256:f7edaa747536540638d71b78febe26122d8aa5774a061a06f7e47fc61b85cd32

Observation 183c033f-efc9-493c-823f-9bbb5602a690 · inbound

Bidirectional Resource Scheduling for Disaggregated and Asynchronous RL Post-Training cites this paper.

Bidirectional Resource Scheduling for Disaggregated and Asynchronous RL Post-Training RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-13T04:42:35.589143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:42:35.589143Z digest=sha256:980691bf9bae33ccea8a058cd40526cdddb277f4e236a973ae3df17d661a0540