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Paper Citation Record · LEDGER

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.19748.

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

pith.paper-citation-record.v1
2507.19748 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:11:54.311308Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 355a1ae3-9578-4bb6-97d9-4de3cea7af62 · outbound

This paper cites write newline.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models write newline

Reference 1

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no resolver link, observed 2026-08-06T14:11:51.261545Z

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source=arxiv_source observed=2026-08-06T14:11:51.261545Z digest=sha256:e8e6e68df9d31a69fcc8cfac668ac0628fb0dd1bdcdd41342d89a65116531db6

Observation a089dd99-1589-4404-908f-611634c4abe3 · outbound

This paper cites American invitational mathematics examination - aime.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American invitational mathematics examination - aime

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.298289Z digest=sha256:1ffe85bb38b25c4164694c50a56cc18d86df19b528f0832613da8677dada103e

Observation a9bd68b9-7aec-49f1-b1e5-777f08486fb5 · outbound

This paper cites American invitational mathematics examination - aime.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American invitational mathematics examination - aime

Reference 3

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raw_fallback, observed 2026-08-06T14:11:56.583835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.383975Z digest=sha256:ced690c88cd1856f9b3107b8533b947721524306a6e1daa78ac445631a7293cc

Observation 6a8cda34-90f4-4cee-8211-5f27c84a86a9 · outbound

This paper cites Llama 3 model card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Llama 3 model card

Reference 4

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no resolver link, observed 2026-08-06T14:11:51.468878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:51.468878Z digest=sha256:191f222f834cd5763674f3564fdcc4c5cddc55c44b1769049a90ad64cd45d9bd

Observation eb473e10-effb-461c-88da-6b0ff0b68895 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 5

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source=arxiv_source observed=2026-08-06T14:11:51.539481Z digest=sha256:c870d4b424f9bf00c0fd32e32db2e48c782b4c386cc42d1a730c9447aaa68765

Observation 8f8bdafa-95dd-4c89-aa5e-1eeeb2b62a62 · outbound

This paper cites American mathematics competition - amc.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American mathematics competition - amc

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:56.379214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.614830Z digest=sha256:4125101a49dd14db1d158c1f4a1e8d58142785da2291036fad15e526e1b7d4e3

Observation 9a6aba26-2b8e-416f-827a-99da7e9707bb · outbound

This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Reference 7

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no resolver link, observed 2026-08-06T14:11:51.663587Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:51.663587Z digest=sha256:d45839a6cee292e1589d37b91fe89d89cfd584855988c493567daeed2ae99e59

Observation a7887f2e-037f-44e0-852d-612278dad482 · outbound

This paper cites The chinese national mathematics olympiad (cnmo), 2024.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models The chinese national mathematics olympiad (cnmo), 2024

Reference 8

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raw_fallback, observed 2026-08-06T14:11:56.181406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.694235Z digest=sha256:6478211c843bd3eb0012fff065676bcda09d0f26c876d8bde88feae0f89775e7

Observation e8837aeb-5a5f-4612-a8f0-760cd8654b69 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 9

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source=arxiv_source observed=2026-08-06T14:11:51.777643Z digest=sha256:471360d3517f0a5a67af8eb15d1d5788723de857fad87651a8fa7a70708d2991

Observation 678cc14f-7b8e-4412-8bc0-f7311e2cb6ea · outbound

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

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=arxiv_source observed=2026-08-06T14:11:51.884059Z digest=sha256:527eb7208ed22f4250da795c3d5606fb60643a4982f80325f705edfd5c19aa9b

Observation 27ae394d-3da1-4fc4-b787-0aa1e3654169 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 11

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no resolver link, observed 2026-08-06T14:11:51.936203Z

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source=arxiv_source observed=2026-08-06T14:11:51.936203Z digest=sha256:d56bb1290dcdbc95a1b0306a4c9968077044dc821a7b8d58c073db08aa16a178

Observation c9964a60-687e-4289-8686-d02efe028bd7 · outbound

This paper cites Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch

Reference 12

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source=arxiv_source observed=2026-08-06T14:11:52.000558Z digest=sha256:b4405b475915a3c450a9a49ff3bd175c6d4bb4863ccffc2a1a0f44785d1e59a2

Observation 87acdee5-1807-41d8-934f-1b54a60dd98a · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 13

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source=arxiv_source observed=2026-08-06T14:11:52.111356Z digest=sha256:e9fc4139a89cc1f962990410ec8615f31ae2fa73c15ecb9e18386bbe9fffa9f9

Observation 77e5fc48-e1b0-4f01-a2f3-9bed69b24641 · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OpenThoughts: Data Recipes for Reasoning Models

Reference 14

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no resolver link, observed 2026-08-06T14:11:52.164187Z

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source=arxiv_source observed=2026-08-06T14:11:52.164187Z digest=sha256:9e5cf605369a7c70ebe179432d66a6f6abdccee6c56327710e6c117a9f5c76bb

Observation eef3a215-20eb-4041-992f-e9a298025457 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 15

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no resolver link, observed 2026-08-06T14:11:52.248368Z

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source=arxiv_source observed=2026-08-06T14:11:52.248368Z digest=sha256:1c983a19076d06157f4fb5a6074eb0f913dc14ba29ca3a5f037ce6306ca560ce

Observation c32e5525-5730-4363-9fff-9e872fb6758b · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 16

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no resolver link, observed 2026-08-06T14:11:52.309006Z

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source=arxiv_source observed=2026-08-06T14:11:52.309006Z digest=sha256:5bc285dd3194f21da13942a066efe75976176f63b778a029b28e51024bb0ac22

Observation a124cf27-0fd3-4242-8b09-278aeb7b14a5 · outbound

This paper cites finemath-classifier, 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models finemath-classifier, 2025

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:55.992144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.395295Z digest=sha256:42b8484aa5078d8d4c3c81a31908b95dc5410e5b27cb30347a91b163448e9948

Observation 2d392652-7e49-4cd6-a7c2-206551e7a97d · outbound

This paper cites AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

Reference 18

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no resolver link, observed 2026-08-06T14:11:52.468555Z

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source=arxiv_source observed=2026-08-06T14:11:52.468555Z digest=sha256:d867872684d574c79c6b8a64404e4a2dc0a88bfacd6dc9e2588ef099e3b9e8ce

Observation 6380066f-72dc-4e51-acd3-f6093d2c6ed0 · outbound

This paper cites How difficulty-aware staged reinforcement learning enhances llms' reasoning capabilities: A preliminary experimental study, 2025 b.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models How difficulty-aware staged reinforcement learning enhances llms' reasoning capabilities: A preliminary experimental study, 2025 b

Reference 19

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raw_fallback, observed 2026-08-06T14:11:55.798734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.519638Z digest=sha256:98d89dd79f38c86f94ebe44a359d1b9b01f5840f18590308627d1cb37625160c

Observation 31bca426-ac19-4878-b27f-79d0ebd848dd · outbound

This paper cites Math-Verify: Math Verification Library , 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Math-Verify: Math Verification Library , 2025

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:55.628755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.603376Z digest=sha256:52b1ead9ab430dcc756cd03eb5954603c77423afbd209e0cc9f3e681a3f29d40

Observation 6a30f0ff-6e70-4413-96ce-65f346db6800 · outbound

This paper cites Numinamath.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Numinamath

Reference 21

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source=arxiv_source observed=2026-08-06T14:11:52.674937Z digest=sha256:ceaae23e1f2db5ca1003538673b2651aa0ca615be52011c17f3a986b1bd367d2

Observation 12db0d7f-a9e2-4f7b-be4b-835ff78e3814 · outbound

This paper cites Let's verify step by step.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Let's verify step by step

Reference 22

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no resolver link, observed 2026-08-06T14:11:52.708680Z

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source=arxiv_source observed=2026-08-06T14:11:52.708680Z digest=sha256:a4b47f9a694b14d1b6962e05eabdd74033356c33b86d9e1f7682f5110f69f83e

Observation 0f27a9ea-c53b-4e9c-b200-791d9693c070 · outbound

This paper cites AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Reference 23

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no resolver link, observed 2026-08-06T14:11:52.807336Z

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source=arxiv_source observed=2026-08-06T14:11:52.807336Z digest=sha256:8fe071675b3d353f6eafee0c11f67540b3069c52d3fe683231db42172a575c91

Observation 9d7194b3-a768-43a9-9dab-84f25d8cfb11 · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 24

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source=arxiv_source observed=2026-08-06T14:11:52.893873Z digest=sha256:0a9932230508585b2a2f57885c76d6e4a9082e5d7d1ba0b7389908791c71a4eb

Observation ca8130f4-1d79-4ce2-9434-52b669ae2e33 · outbound

This paper cites GPT-4o System Card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models GPT-4o System Card

Reference 25

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no resolver link, observed 2026-08-06T14:11:52.950932Z

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source=arxiv_source observed=2026-08-06T14:11:52.950932Z digest=sha256:eff06b42ea8c22b9495612c27f5f5762e1d5cd5346fa0e24c779dd8ed6db2e37

Observation c6e31aec-963a-4997-8a57-dad361123279 · outbound

This paper cites OpenAI o1 System Card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OpenAI o1 System Card

Reference 26

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no resolver link, observed 2026-08-06T14:11:53.034590Z

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source=arxiv_source observed=2026-08-06T14:11:53.034590Z digest=sha256:34441ac19f85607786156749fce768c6f09734ff0670e54b081db0b39b81c7ba

Observation 545f0617-da8d-44aa-9c68-e9263b48f72c · outbound

This paper cites Qwen2.5 Technical Report.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Qwen2.5 Technical Report

Reference 27

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no resolver link, observed 2026-08-06T14:11:53.088163Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:53.088163Z digest=sha256:55638473d0875290e794f81f1064b1738b875997bf40c24b9132fcf1ffd088dc

Observation 6838a014-04b0-4f44-ac41-f3259693589b · outbound

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

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

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no resolver link, observed 2026-08-06T14:11:53.126929Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:53.126929Z digest=sha256:601e34adb744282c007cbe04f4b848372b6376ad97bbbd3559c26dd144bd7c89

Observation 041dfd78-c264-4331-a08e-083a5b30f939 · outbound

This paper cites DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training

Reference 29

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no resolver link, observed 2026-08-06T14:11:53.246664Z

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source=arxiv_source observed=2026-08-06T14:11:53.246664Z digest=sha256:e8c8afb51b33d8b2fda4da03da61dd12b6e7e83e0fee0a77909a416671b6f390

Observation 534b77a2-28d4-4211-84f7-f3faa2dab895 · outbound

This paper cites CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Reference 30

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source=arxiv_source observed=2026-08-06T14:11:53.308540Z digest=sha256:ca9235592f34ed17c892cb26a361fa4e797c767e4b88f34bf5bee1dbd03121a7

Observation 5ef092f6-5eac-46b6-bf9d-7d0e5eee6d2a · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 31

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source=arxiv_source observed=2026-08-06T14:11:53.405712Z digest=sha256:861182f89596b0943b484dcb1da658886e3cc4bd650dba553c22b6b84abf75b9

Observation 6d919d92-d8eb-4d60-9d94-a4a44518a1aa · outbound

This paper cites Autonomous data selection with zero-shot generative classifiers for mathematical texts.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Autonomous data selection with zero-shot generative classifiers for mathematical texts

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:55.415311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.556528Z digest=sha256:6393e0c3835e4f0f7775aac760fe4bd08533211964d0db1e9482aa2b6cbc3d79

Observation bf0e657a-4555-4e7e-ac92-095c97dad814 · outbound

This paper cites LIMA: Less Is More for Alignment.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models LIMA: Less Is More for Alignment

Reference 33

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no resolver link, observed 2026-08-06T14:11:53.712846Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:53.712846Z digest=sha256:f2d4470d9db15b1e9beeeeddd25a77ec31f7ddb75c3c2946de9db9620082df6f

Observation c3dbeb14-602c-4d70-8146-647992783c2b · outbound

This paper cites MegaMath: Pushing the Limits of Open Math Corpora.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models MegaMath: Pushing the Limits of Open Math Corpora

Reference 34

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no resolver link, observed 2026-08-06T14:11:53.839697Z

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source=arxiv_source observed=2026-08-06T14:11:53.839697Z digest=sha256:7739d7ed642b6a4b749f55539b4e323b8ecc689beb828d76ffb52cbe9bc5fd7c

Observation 74a261ba-b292-4d70-91e5-a1c3f5b5ae93 · outbound

This paper cites Jiuzhang3.0: Efficiently improving mathematical reasoning by training small data synthesis models.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Jiuzhang3.0: Efficiently improving mathematical reasoning by training small data synthesis models

Reference 35

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raw_fallback, observed 2026-08-06T14:11:54.933323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.990959Z digest=sha256:5f41fc643668acc09ae24a7a7f65c535081d786130957b6b2e99fc70fef57492

Observation 1da92bdc-2cde-4016-b388-59af974e7664 · outbound

This paper cites @esa (Ref.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models @esa (Ref

Reference 36

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unresolved
no resolver link, observed 2026-08-06T14:11:54.111525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:54.111525Z digest=sha256:5f201dd98d38ee4bc092634bfe3f84df5fef9ebed4d8064720a14fddda568768

Observation 3c98dd23-e4af-457d-8255-e9908c0a9d88 · outbound

This paper cites an unresolved cited work.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:11:54.203971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:54.203971Z digest=sha256:2b0a508b1e9b43855f51a745683f122c5d26a83f235e59b2404dd6158d92d2d8

Observation 9eea373f-3edd-4d46-8a41-e180736d6d10 · outbound

This paper cites eo @I4iNڴ i?׫“3|so RSS= T*GLL ƍ nj n E jž&=Fw[ 6wYM4 AAAv׋ \ ]T K :th ^Gqq1Ґ^z <V# UsW ,@6mp]w5wu o ? <m ??殎 NkZ 6 P Ν;jJ( m޼ 鈊raȚ3gb faoߎ4DGG[O E RI|sܹs Ld޽>rqZ Q x:D[F.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models eo @I4iNڴ i?׫“3|so RSS= T*GLL ƍ nj n E jž&=Fw[ 6wYM4 AAAv׋ \ ]T K :th ^Gqq1Ґ^z <V# UsW ,@6mp]w5wu o ? <m ??殎 NkZ 6 P Ν;jJ( m޼ 鈊raȚ3gb faoߎ4DGG[O E RI|sܹs Ld޽>rqZ Q x:D[F

Reference 38

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T14:11:54.650414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:11:54.311308Z digest=sha256:d6efda52c4a3a365b4e0a672e608b81939220cb8e472296aef3c2ef619a079c1

Pith citing papers

No inbound Pith citation observations are available.