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Paper Citation Record · LEDGER

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.10299.

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

pith.paper-citation-record.v1
2502.10299 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:38:07.827246Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:49:37.838235Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:49:38.396785Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b782dd21-0b08-4af5-93fd-1bf5fe0f0291 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.783143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.695073Z digest=sha256:dd0dc307daeaf35d6b42564e7cb06aab966f55fc96e4c5437ba5bdac30d0de05

Observation 6e9c69cb-6931-45d4-8255-88286ef5d3f7 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.767106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.700935Z digest=sha256:0fc8456e82882fcf883f908a8e1a0dd0bbb7fd6583ae1101e99c7dbb541b35d9

Observation 826f833b-9d48-4fbf-a889-34037eb649a5 · outbound

This paper cites Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T18:38:08.750564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.706456Z digest=sha256:dfe780150ade35acae72589d47d6c6e60dd04dd1e2e437622ceb20a5cc04918b

Observation 8bcf9650-3ee7-49a7-943d-dbb04ed0524c · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.734042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.711859Z digest=sha256:83ea47efffd190b6a1055a71d47eeaef6d1402dd13335992a1d9a39315087ff2

Observation 610bd5e0-3bf8-4e69-8683-4220d1b68026 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 5

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T18:38:08.374453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.717279Z digest=sha256:136a0afb96294b2b79787ddb399a9d8d153f8afacc627fb4fb9cf450dbd4652e

Observation 9a9a5256-18b0-4a4b-9d49-015ba275d7ae · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.717795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.722778Z digest=sha256:8b5945678f2a99b771bf1e2b4da981dfd14c196a9a5c93be0288acc5c1d234b5

Observation 3d509838-00d4-48a5-800f-4cc9a94d50f6 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.702054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.728633Z digest=sha256:174c4296b3ca279cb62c8ec3f56e78f280ecd065c5b8f851960c25c283066881

Observation 39442ab9-b831-4d01-8f1f-7ced1977ccf8 · outbound

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

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T18:38:07.733300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:38:07.733300Z digest=sha256:37236ac10d9fd3f9dbf4371beca1a7afbd374c553a318b142be1237a224d2f68

Observation b6a2c865-0d6a-425a-8b19-8430825e81c4 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.685873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.738554Z digest=sha256:f8e05a4f234a327ff87b0c5cdef7df7bbe976e206d8624d3421b657df19416ca

Observation c27546cd-564f-4436-9071-00476ce04bfb · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.669730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.743426Z digest=sha256:b524906df65b25b4f7bb489a348ebdb29d62e72487cd9a101a47b1d3d1a96b71

Observation 0419f351-afec-4fea-a33e-9d5e450d3f04 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.653213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.748432Z digest=sha256:6294d01ef5e82704fd485f49ca897cef9e8d2df153967b986f19f3f0ea95609e

Observation 92e0abb8-fb1e-4788-9817-a5cc9b9ddd89 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.636764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.753673Z digest=sha256:18a1f69e5e0406a55ef64fc020a46a98be658d894b0dbf7515b3c57dd2d1b1c9

Observation 015e3f55-a4f4-4432-b56f-e7e7e3225247 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.619850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.758591Z digest=sha256:279c4b28c051afe01853012592cdb3474a371fd1c8e10885e6eb37926a54aafb

Observation 78e24b27-d061-4903-aba7-a3a5534ffac7 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.603709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.764357Z digest=sha256:f07398dd852a899d8b0d1885e4ea6902eb8026a90776edc354148a9026023dc0

Observation b9afb54c-64e4-449c-ac14-b3b7ef027ef7 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.587080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.769219Z digest=sha256:2fb3dc7e59eb0ff3c2c8a90e4003426ef0ae955bf599bbb7c4513bc4deaa3cfd

Observation 915fcac1-0ae1-49b7-a0c0-03e98af13495 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.570110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.774139Z digest=sha256:be17ad173f311d15d52b2f760b4ca7aaf8141ab23c322cb24b2f1ab90ad7ed4d

Observation 9536e96a-0475-4ff1-80b9-0a18efad8f9a · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.551619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.779238Z digest=sha256:2c33e1f8c1d77719c61c180fe87c6872c0c461a98886123124f634ae86594982

Observation 61c81967-115b-4fcf-a467-52f4dd456b0b · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.534046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.783345Z digest=sha256:2cc93ced42a0b78d141a7104556beb664d0ed35a005636d40e2559940bb3ec94

Observation 3bd0282e-3c46-46ee-a096-e2b7f390624f · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.517272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.788643Z digest=sha256:9e5760539898317d26203ba5d95146b6aa41c2ed481d1258b6948fa51c95a0fa

Observation bbbbd4ac-2ba6-4965-aeaa-743f6a70dec2 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.500206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.793137Z digest=sha256:46319505682e5d0daea6278752c5bf9e2a30e8410f405ae63b47fc96532d5f4d

Observation 3fce9efa-b355-4738-92a9-d881acb941e1 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 21

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T18:38:08.167938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.798211Z digest=sha256:70eef95bd0abaf407d7307b3729abc2bee245545189ece69d067e0cef193a54c

Observation 2129b008-3131-418f-85a5-7d282dc37ab9 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.483163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.803140Z digest=sha256:efa6f78fda144c4b039c8239c8aa7c7c1eae562c02fbfa8d2fa4dd97dea2efb8

Observation f677582f-c4ba-408e-915b-8635645d27c4 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.464751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.808014Z digest=sha256:3867a2cdfa3e86b5b551502569507952329717378a50fe64fe58065741c5dc27

Observation 30577030-b8e9-4c71-a9b9-02b1e4477197 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.447921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.812708Z digest=sha256:46369aacae5b01b970f197ea3f3486c54337c3b1ebe1f62853bb4235fd75fd90

Observation c2b6078e-3ca5-4bc3-b399-7534c15d3f92 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.429837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.817410Z digest=sha256:c2466cd45923ebf7ea85c981a551576d12adf7e93cade2dfae26f7e9537299ef

Observation 494d6bf6-6b98-49a4-b437-5387f3cac261 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.410724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.822134Z digest=sha256:856084e0a6e9b3a93a79bf743e10031fc3795610b3f3d7759b6a8160215757d1

Observation c9e5c8b6-e444-4fa0-8065-fa4be6980a24 · outbound

This paper cites an unresolved cited work.

Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2 Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T18:38:08.392609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T18:38:07.827246Z digest=sha256:90b6a1d5910866f219637ea05ed9338a49cd5e9ac06ba42b5f9ff46b0b1f6817

Pith citing papers

Observation e0747679-0ef8-45fc-8748-90c167363d09 · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Open-Source AI-Powered Optimization in Scalene: Advancing Python Performance Profiling with DeepSeek-R1 and LLaMA 3.2

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:49:38.400364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:49:37.838235Z digest=sha256:48adc7e2b3ffa06920804f9fab349e230f2340e8e9060300a3362fdb2b8b5eb6