Paper Citation Record · LEDGER

Common 7B Language Models Already Possess Strong Math Capabilities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.04706.

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

pith.paper-citation-record.v1
2403.04706 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:01:03.367763Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa8c5b32-a312-4b29-ac0b-f19dd3af5479 · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs Common 7B Language Models Already Possess Strong Math Capabilities

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:58:29.120167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 851ef560-07cf-4904-b041-711b48a2b200 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Common 7B Language Models Already Possess Strong Math Capabilities

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.750774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4eb5ad1-4ce1-4bbb-82f1-d8ab838f5f6e · inbound

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs cites this paper.

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs Common 7B Language Models Already Possess Strong Math Capabilities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T11:01:03.367763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560a043a-ec6b-49b2-a8fe-9d6f48442fb0 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Common 7B Language Models Already Possess Strong Math Capabilities

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.383838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5aba066-9fd9-4b53-9ebd-592abad388a4 · inbound

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning cites this paper.

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning Common 7B Language Models Already Possess Strong Math Capabilities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:22.055238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e0d4e3-bd74-46ea-a197-822349076c4f · inbound

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment cites this paper.

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment Common 7B Language Models Already Possess Strong Math Capabilities

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:43.409391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335c4f3c-2f9a-4427-af96-c5f4390ccd8c · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Common 7B Language Models Already Possess Strong Math Capabilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:01.249411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dee0255-b8b4-4be3-b2bc-7589364559df · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Common 7B Language Models Already Possess Strong Math Capabilities

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.323830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b3aff7-b430-4c5b-8c49-51d2d251dfb9 · inbound

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery cites this paper.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Common 7B Language Models Already Possess Strong Math Capabilities

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:25.369062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8f00e26-8ce6-46d5-8511-c212abc361c4 · inbound

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Common 7B Language Models Already Possess Strong Math Capabilities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:24.139853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59802d7a-0a03-4b0c-9a71-8ec832f81fca · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Common 7B Language Models Already Possess Strong Math Capabilities

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:36.578494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890038b5-cf88-41ac-92c8-acfbda366e8c · inbound

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning cites this paper.

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning Common 7B Language Models Already Possess Strong Math Capabilities

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:05.800145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63147ad2-2cff-42fc-bc3d-b797943f7718 · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Common 7B Language Models Already Possess Strong Math Capabilities

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:06.262910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7dd4b81a-21a9-43e5-853d-3bcd0b7ba514 · inbound

DEL: Digit Entropy Loss for Numerical Learning of Large Language Models cites this paper.

DEL: Digit Entropy Loss for Numerical Learning of Large Language Models Common 7B Language Models Already Possess Strong Math Capabilities

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:39:49.505716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56c50254-6d1f-4a1c-aeda-f35a243c2e43 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Common 7B Language Models Already Possess Strong Math Capabilities

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:00:56.012645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62e9e30c-7a8d-47a8-bcf7-3fc9abf8a3cd · inbound

MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction cites this paper.

MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction Common 7B Language Models Already Possess Strong Math Capabilities

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:03.314893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.