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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:a4c8365d06e89d970950aed43ca93abb98882f8e9602c01b8369d77adeb14f06

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.298289Z digest=sha256:075adadbcb36b8da4e4ccfee3d476534e6417d2fdc7c2c42c3feeac5174e2ae0

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.383975Z digest=sha256:beb95f49ca257112dd84033ac0eac212d30348aa32d9f2937fc2446f49776d74

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=sha256:983c6c32cc5feb6b7719740f78ace50713b698031ee7d348b7c4caf730feaaf5

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:ae7494a1e65c05da268698e5ccc07de999da386348fab0db3e40522462083a69

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.614830Z digest=sha256:e96a176c8e25481add7475daa8b449d9717fd349fb99ee1c73c1e54d256afee2

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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source=arxiv_source observed=2026-08-06T14:11:51.663587Z digest=sha256:47db00acab7410156c9b22273842c0d33cb3e62fadba8ca1cfc3eb944730bd80

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.694235Z digest=sha256:196c3b05f155cc931b6663875a60b794170f2341475c7032f2b57e74e6da7830

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:b369d79de0bde8147e48f3634419cc56929324423069526787f8a76cca94c9b9

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=sha256:6d3cc0f82ef0fb4d83a5ed3dc17f5082b3d88981aa745aa7d2e1794fa040f4b3

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:c89467eddd5632fd157d04b654c81ff1a2a218972860b6026f70bb2c0534734f

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=sha256:9f9d06e3c786ea3815d854493d114048008683a7e1812ee30f6b6d96da15f9c6

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=sha256:16726bf5795f53b1118807b532235659e2fd5a2da7db4815303a241aa839f06e

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=sha256:53b4a51f9033eb450d2b5f068dd059f3dac14160b2812139eafa720717d47faf

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=sha256:414480d2f4120ba16f423836429758bf6bc2cce3b5a356749d97f9f6a084421f

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:52.309006Z digest=sha256:7e2d4147e2728f666beef1af0517f600ba998e2a425656f9325cf67dd24dff13

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.395295Z digest=sha256:bda33ac4102bdec63979ba59162c0830c77041c05ebb294552834ef3ca71da18

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=sha256:48b45fc292b710c9a0bc4b8d76c79c5de4706e14c71f734704f85e9ee5d90ecb

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.519638Z digest=sha256:930358a3fa1ad276c1b4901d4aba9b330dd0078a64a14a2a1b32435563d242e4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.603376Z digest=sha256:ee944bdb3edba20b2bb604d8c21e600105debfe1ce2a2963e125153d446677ca

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:f71c34d9cc389e789195447859f0ac393640835f0ed5a6e6b66fa4768b1c76f5

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:fd31245ac5481cd170a21a2331f742131c9bcd18ffed57dd41d27174c61b426a

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=sha256:3ffc6e472732e2605d7cc35f8a05ffc9d882546c66a5b2f2d253374c406dc8d9

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:a1528734f5bafdeb3a9abcfa5f32f1038d465a8e6c8a207522648aa48a527cd1

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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source=arxiv_source observed=2026-08-06T14:11:52.950932Z digest=sha256:d93efdcb9d497db4097bb0d3c7ecec7917373ce3f87c8764afacc4e72a3a400b

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=sha256:2fba7f80ddc89b6ed7130f50b29b2808fad77eacd95c91c111c52abc24c2635d

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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source=arxiv_source observed=2026-08-06T14:11:53.088163Z digest=sha256:6fdc8204b508897a71e4c84058848ed6127084a4b9c8652a87f07e453020c126

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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source=arxiv_source observed=2026-08-06T14:11:53.126929Z digest=sha256:8cdb721c2ca9d23fc69f3b90063e912d024e4ba50ef810704bb51186fe64c7da

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:53.246664Z digest=sha256:df96bc0c7b28012fd670dbe92710a675a658b994aa7bb540408cad35063d8c1e

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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no resolver link, observed 2026-08-06T14:11:53.308540Z

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source=arxiv_source observed=2026-08-06T14:11:53.308540Z digest=sha256:eb30d233d239988552ac2e91c3d9964932f37f48da75484b18563d2e239820db

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:c4c44b00adc9bfefcdb718038374b18738bc9762fe8d11c1848f1e84fe41b428

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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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.556528Z digest=sha256:26472d23ef48655da27cd2fef59cd08afcdc7917a421b5e8785c346d70a6ed0c

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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source=arxiv_source observed=2026-08-06T14:11:53.712846Z digest=sha256:68541620e5f4271f197b3b1c41789b3d6bb73ad3b0dbec6242fefee294da3594

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:53.839697Z digest=sha256:5fa9a513533930ebf68f05ac51961c0b6109502b2382fcd5b3c3346201bc97c8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.990959Z digest=sha256:43949a56ae2397f076210ac48ff15a64ef9c708f5928e8b849a0063f2d51fff3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:54.111525Z digest=sha256:b5519e787c9abd8b9a2bf2954f8fa343aaf99d0de553b7bdc9c81859d37eb1b2

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:ee75f3c8119a24e1c0f033bf7fc4a132776d296cdcbe8ec158acf854b5a2355a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:11:54.311308Z digest=sha256:b3ef82b5e8aea8b8292f853862165de5449f6dfe9a17c126b8b7720ad426f84a

Pith citing papers

No inbound Pith citation observations are available.