Paper Citation Record · LEDGER

Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:1705.04146.

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

pith.paper-citation-record.v1
1705.04146 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:43:55.921050Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2bbc4280-9a33-47ad-9572-815cdc081de2 · inbound

Generative Language Modeling for Automated Theorem Proving cites this paper.

Generative Language Modeling for Automated Theorem Proving Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:18:10.736556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f1a653c-2588-4e85-86f0-7c6e209c1ccf · inbound

Training Verifiers to Solve Math Word Problems cites this paper.

Training Verifiers to Solve Math Word Problems Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T13:04:30.069482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03ab7641-6611-40ce-a5f6-830385eb9d30 · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:02:50.243459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a65c3f61-e655-4261-899f-f941fea3dc41 · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-24T11:14:23.149722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f79ae9ad-be29-47da-b110-98ed93bee627 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:04:31.286518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1206e60f-cd8e-43c5-bc72-4c349ae9991d · inbound

Towards Understanding Sycophancy in Language Models cites this paper.

Towards Understanding Sycophancy in Language Models Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:26:29.432244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb851368-450b-43be-a9a0-49a5e3f9781d · 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 Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-18T23:58:29.139816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c8dc193-a5ed-40e1-ae8f-2a25fdbb4262 · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T00:42:12.060266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6e8c2c7-9eee-4442-840e-82f117533996 · inbound

Training and Evaluating Language Models with Template-based Data Generation cites this paper.

Training and Evaluating Language Models with Template-based Data Generation Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:03:12.423457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a03a3fa-4713-4aaf-aab7-d128436075c2 · inbound

Stay Focused: Problem Drift in Multi-Agent Debate cites this paper.

Stay Focused: Problem Drift in Multi-Agent Debate Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T01:52:22.933689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04e7e08f-799f-4c25-bdf4-7ee52159ed3b · inbound

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation cites this paper.

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:24:13.014727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef2c7f0e-8e11-4314-b85b-fb578ceee141 · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T13:46:25.905202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7cb0a4a-63d4-41e5-bbd3-3ede3214bafc · inbound

Coupled Variational Reinforcement Learning for Language Model General Reasoning cites this paper.

Coupled Variational Reinforcement Learning for Language Model General Reasoning Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:55.921050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8656945c-7a16-4449-b1ec-300f15b49c5f · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 141

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:40:42.643272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d8a8bdd-0d05-4b4b-9b2b-e88884ae5224 · inbound

Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models cites this paper.

Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:07.474668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecea6dc-8ded-41bd-ba4f-6cf9a04ca6f2 · inbound

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger cites this paper.

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T03:27:49.162370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716306fd-f4c7-472f-af70-89d55d15b4df · inbound

The Appeal and Reality of Recycling LoRAs with Adaptive Merging cites this paper.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:56:46.047977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d2d0f2-af7d-411d-bbe1-114093ec684a · inbound

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:06.755905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f12b71-985f-4a35-82ab-9fae04cde827 · inbound

Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models cites this paper.

Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:00:04.303572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06754035-b793-4783-ab81-57c035b3c150 · inbound

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space cites this paper.

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:35:31.797749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd20b55d-b1d3-4c50-9616-e1df1acd5e2b · inbound

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning cites this paper.

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:09.614589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 195a4e08-0bbb-40ce-b687-47e005331748 · inbound

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy cites this paper.

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.539388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 220a943f-325c-4a93-8c7d-8fbf10fbd817 · inbound

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy cites this paper.

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:03:56.304443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d824b760-8736-4325-b845-a0467825c2ab · inbound

When AI Says It Feels cites this paper.

When AI Says It Feels Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 112

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:26:58.884644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 805e4824-1d07-477c-9cf6-1b8f8ea40378 · inbound

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation cites this paper.

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:46:55.517201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0b8bde82-c5fe-4397-bda4-68362d945da5 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 214

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:47:26.020093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bbb269fd-da6a-4a22-875a-02c9d8918c53 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Reference 216

Resolution: unresolved; no resolver link, observed 2026-08-02T12:05:18.261578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ffd1d0-9b0d-4bb8-8978-a4a441ec1d96 · inbound

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text cites this paper.

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:17:30.504027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8804c0f0-cf97-406c-b88f-44cd47ee28e0 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-06-28T07:11:45.274976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8b35d2e4-41f2-4a89-9a31-6d5a1c28f233 · inbound

ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving cites this paper.

ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-02T06:56:43.956588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5e481049-1b5a-4972-8631-8c06d8b431c7 · inbound

ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving cites this paper.

ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-03T18:58:50.477198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d3738e6-5bf6-4afd-96bd-8c0036ed2584 · inbound

Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning cites this paper.

Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T04:08:39.594367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4fced82-e185-4c30-9d78-953389b634d4 · inbound

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness cites this paper.

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T14:17:26.165756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.