Paper Citation Record · LEDGER

TinyGSM: achieving >80% on GSM8k with small language models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2312.09241.

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

pith.paper-citation-record.v1
2312.09241 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 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:49.328172Z

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

1
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 671813f5-9b31-4143-ad8a-e3807df93b9d · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) TinyGSM: achieving >80% on GSM8k with small language models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:52:37.294007Z

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.

Observation 2a94db03-1fd9-44d4-b52f-aaccfd86e1d6 · inbound

Online Knowledge Distillation with Reward Guidance cites this paper.

Online Knowledge Distillation with Reward Guidance TinyGSM: achieving >80% on GSM8k with small language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.328172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f09a3d-156e-4e19-989c-d8df0b841ea7 · inbound

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection cites this paper.

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection TinyGSM: achieving >80% on GSM8k with small language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:05.502062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0b74e3-e7f8-4123-afa6-7e9b08e39471 · inbound

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

A Survey on Large Language Models for Mathematical Reasoning TinyGSM: achieving >80% on GSM8k with small language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.355966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1c0be2-c49c-4bb4-b9bc-83c557d278e0 · inbound

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version cites this paper.

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version TinyGSM: achieving >80% on GSM8k with small language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:57:17.092837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea759e0-67c0-4c0e-93dc-3a52fe4a97a1 · inbound

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation cites this paper.

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation TinyGSM: achieving >80% on GSM8k with small language models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T13:35:36.663056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6046303a-eb30-49b4-bc19-96d503b11dda · inbound

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation TinyGSM: achieving >80% on GSM8k with small language models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:06:13.910982Z

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.

Observation 15ef4678-cb6b-4a42-86c5-49ba8403a77c · inbound

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning cites this paper.

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning TinyGSM: achieving >80% on GSM8k with small language models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:04:11.970652Z

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.

Observation 5d47610c-a9b7-46a5-85c3-645ba74c12c6 · inbound

Looped Diffusion Language Models cites this paper.

Looped Diffusion Language Models TinyGSM: achieving >80% on GSM8k with small language models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.129009Z

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.

Observation bd00998c-4f2f-4b07-b4a8-4bb16cd850fe · inbound

Dense2MoE: Pushing the Pareto Frontier of On-Device LLMs via Unified Pruning and Upcycling cites this paper.

Dense2MoE: Pushing the Pareto Frontier of On-Device LLMs via Unified Pruning and Upcycling TinyGSM: achieving >80% on GSM8k with small language models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.011998Z

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.

Observation 9c2e99aa-f0d8-4a44-a97f-6f108bb97f73 · inbound

OCC-RAG: Optimal Cognitive Core for Faithful Question Answering cites this paper.

OCC-RAG: Optimal Cognitive Core for Faithful Question Answering TinyGSM: achieving >80% on GSM8k with small language models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.353666Z

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.

Observation 23eb022b-3af4-4a57-ace2-f961cc82e938 · inbound

BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers cites this paper.

BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers TinyGSM: achieving >80% on GSM8k with small language models

Reference 138

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.983935Z

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.

Observation 45769b1a-260f-4e16-a74a-edb410f85207 · inbound

Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs cites this paper.

Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs TinyGSM: achieving >80% on GSM8k with small language models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.557828Z

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.

Observation d244bc3b-717b-4dba-900d-be1d31ff86d5 · inbound

Counsel: A Meta-Evaluation Dataset for Agentic Tasks cites this paper.

Counsel: A Meta-Evaluation Dataset for Agentic Tasks TinyGSM: achieving >80% on GSM8k with small language models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:49:38.218954Z

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.

Observation 7d9fdb11-0947-46fb-bed3-9ce98b21e159 · inbound

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps cites this paper.

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps TinyGSM: achieving >80% on GSM8k with small language models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.835783Z

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.

Observation 67b7a7d1-dd36-4169-ac13-3b223f207cfb · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex TinyGSM: achieving >80% on GSM8k with small language models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-31T23:51:55.169989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.