Pith. sign in

Paper Citation Record · LEDGER

Orca 2: Teaching Small Language Models How to Reason

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2311.11045.

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

pith.paper-citation-record.v1
2311.11045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:43:27.697075Z

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

30
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 79417f2b-a241-4a3c-8ecf-b82e9b683673 · inbound

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation cites this paper.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Orca 2: Teaching Small Language Models How to Reason

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T16:43:27.697075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:43:27.697075Z digest=sha256:edcf3e95fecff7f479447dc23f22beab1900886362be2dafbabaa61ced06fe9a

Observation 8673a5a6-6b84-40ce-b136-0e5358d4aa28 · inbound

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training cites this paper.

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training Orca 2: Teaching Small Language Models How to Reason

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:33.959256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:33.959256Z digest=sha256:e0153148cb7b3cc723e49f88c830151e89735305b35062adc0350b684eaf6225

Observation 74fa3cbc-b942-428c-a3bd-21470d004408 · inbound

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field cites this paper.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Orca 2: Teaching Small Language Models How to Reason

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T18:05:58.801918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:05:58.801918Z digest=sha256:44267f92ac664b05551dadb3b61610f35beb62efca8578ce04512b0e3f01b181

Observation 2866cf0c-55b9-4ffe-827b-803b04eb045d · inbound

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness Orca 2: Teaching Small Language Models How to Reason

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:47:03.953299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:47:03.953299Z digest=sha256:823bd0a4ccb46b7e97c2d76b2ee0d504c14eaa870c9acd854e3b2f15eaa3e7e0

Observation daa68dfe-25d1-44c7-9646-12e318b4f662 · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Orca 2: Teaching Small Language Models How to Reason

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T13:19:18.918005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:19:18.918005Z digest=sha256:e17e44b3a2ff334c68521ce78e9adfb771e1c032c223d2b35d0db78b8c5a043b

Observation e55a76c8-fa4c-4235-b91f-3c9b16d18ec2 · inbound

Efficient Knowledge Injection in LLMs via Self-Distillation cites this paper.

Efficient Knowledge Injection in LLMs via Self-Distillation Orca 2: Teaching Small Language Models How to Reason

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:37.186069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:37.186069Z digest=sha256:c223dc52e63aca64ad0aaffd3f3f503ca8924f3508f9c31ae5274d09457c1005

Observation 7a16fad5-6214-457e-a114-1ef492eb0e83 · inbound

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation cites this paper.

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation Orca 2: Teaching Small Language Models How to Reason

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:23.263283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:23.263283Z digest=sha256:bb9bed9b19724335cab8d5f20275ee59ad941c15a9ca1b83d84b7c3bc601746f

Observation d5e5cc4f-861c-462b-b6b4-53629742906d · 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) Orca 2: Teaching Small Language Models How to Reason

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.352268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:3b8571f515475574a80e2109097592716d9baea7097331658bb6eb9d39ce31af

Observation f5768770-b6f3-4357-8687-952132d0d01d · inbound

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory cites this paper.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory Orca 2: Teaching Small Language Models How to Reason

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T20:44:16.992688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:44:16.992688Z digest=sha256:3e302c6b11ec0c42e063ead9ba0342be4842318ca40af17d455115ea2a47d757

Observation 1cc2eb4b-c8a0-4d92-a3f4-6377320004c9 · inbound

DNA 1.0 Technical Report cites this paper.

DNA 1.0 Technical Report Orca 2: Teaching Small Language Models How to Reason

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:04:34.967217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:04:34.967217Z digest=sha256:9595c58e4169b6e87d062c4f2ada92c919bfd2dc394d479c4e5a76cb5467fc69

Observation 8598594d-8e3c-4a73-849e-74bc26be1b95 · inbound

Few-shot Policy (de)composition in Conversational Question Answering cites this paper.

Few-shot Policy (de)composition in Conversational Question Answering Orca 2: Teaching Small Language Models How to Reason

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T18:27:29.607313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:27:29.607313Z digest=sha256:fa4e0ff4f1d6cd5d83c49121636e4ae0d5cdf817902eb996a52d56fd34c6098b

Observation 72e339a4-8128-4bcb-b4e6-c89162e7aab2 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Orca 2: Teaching Small Language Models How to Reason

Reference 161

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T01:05:16.465844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:c4986fbfb4f98e13a924068e12750b091b6ca685a15569d8cf0f920d8de25c08

Observation bcab39d6-4e6a-41b1-830e-d5d23cf06dd6 · inbound

Phi-4-reasoning Technical Report cites this paper.

Phi-4-reasoning Technical Report Orca 2: Teaching Small Language Models How to Reason

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:40:25.809710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T03:40:25.706499Z digest=sha256:8cde8aec287223e2a996ec13283e12d5c1901fb233cc6134d6abf13e9ba6db46

Observation 981f289b-cdca-4199-b00b-8f5b4671d088 · inbound

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models cites this paper.

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models Orca 2: Teaching Small Language Models How to Reason

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:27.821363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:27.821363Z digest=sha256:33a83ac121443ee2e7247e44dbf12bb7393876d80527c43491beb3a5b60995e0

Observation ac63deaf-e776-4267-8881-5356e894b10f · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Orca 2: Teaching Small Language Models How to Reason

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:22.619372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:22.619372Z digest=sha256:735615a12a9966e1a310b64844c4b6018dcdbef151c91d413f17b3402f45e84b

Observation 2f687af6-eeb1-4dad-a268-d6ede408ced9 · inbound

VERA: Variational Inference Framework for Jailbreaking Large Language Models cites this paper.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Orca 2: Teaching Small Language Models How to Reason

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:07:04.286535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:07:04.286535Z digest=sha256:1ca8c0edfdcdf712ec5fd489812e0aa71a63e942954aedb1ac6b0ff3b122c13c

Observation 9247732a-bfd8-44db-a443-c0c26c9e06f1 · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data Orca 2: Teaching Small Language Models How to Reason

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:53.641886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:53.641886Z digest=sha256:bb3811346825c194482c44d223efc2ef9fb7ae53463da052d9ef82a0ccc4ae74

Observation 05aee944-6596-4c81-bef5-f473141eafdf · inbound

On the Effect of Instruction Tuning Loss on Generalization cites this paper.

On the Effect of Instruction Tuning Loss on Generalization Orca 2: Teaching Small Language Models How to Reason

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:57.399962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:38:57.399962Z digest=sha256:eeb93ee55d3049b937257cb33c5e9b3fb956c3b7968d947d10536b9064ec81b7

Observation 887d054e-ba61-4c73-8610-acb39b045fde · inbound

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges cites this paper.

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges Orca 2: Teaching Small Language Models How to Reason

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:14.989300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:03:14.989300Z digest=sha256:02c6f8e58a347ae995e44e676d6354ab57db7526d141de960a713a3d83025faf

Observation 25a94ac0-b9a6-4206-bc96-d0ff4daaeb35 · inbound

CoSpaDi: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning cites this paper.

CoSpaDi: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning Orca 2: Teaching Small Language Models How to Reason

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:21:24.138276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T13:18:51.478013Z digest=sha256:d4e9b45d1fba41b41952d46d5f05f2f66077649f72484c4e145c660016445f10

Observation b657cea6-0004-4aa0-97c4-daf99b9a4b22 · inbound

Toward Cybersecurity-Expert Small Language Models cites this paper.

Toward Cybersecurity-Expert Small Language Models Orca 2: Teaching Small Language Models How to Reason

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T09:40:27.140468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:40:27.140468Z digest=sha256:bc2847f2b2df583a9930483b75c90acccec1dd144b9811a113cf6ff5ad0a922a

Observation 09ce4155-cba2-4f99-87dc-36eca5e58f77 · inbound

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning cites this paper.

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning Orca 2: Teaching Small Language Models How to Reason

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:30:53.563627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:28:58.515666Z digest=sha256:5de326750b773da27970a5633a53e3e575a91d16f5e12842fb379d481b2a8e73

Observation 0a1c1014-dd76-4af2-a29a-b285b283322a · inbound

DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training cites this paper.

DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training Orca 2: Teaching Small Language Models How to Reason

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:26:59.929579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:18:49.076088Z digest=sha256:96876da7c905b729dbe10476389f10424ea8e6b57e107ed01ee4c00fb2319fb9

Observation 878533ef-fe4c-4107-9d60-f96ad8a0f084 · inbound

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs cites this paper.

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs Orca 2: Teaching Small Language Models How to Reason

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:41:08.875495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:18:05.789417Z digest=sha256:84e7c58e8f586c01c0c7b288241eddf640d275d401107b237b05a193e12b459e

Observation 076484d2-7156-4536-988e-af9a1d0ee0ac · inbound

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs cites this paper.

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs Orca 2: Teaching Small Language Models How to Reason

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:49:48.914706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T06:49:16.271699Z digest=sha256:07d0bf7996e2f619657f8aa465ca32af14c1dafa9b386938d03a4a84b8ea070a

Observation 7b666488-7d26-45e6-8365-d228799a37ff · inbound

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs cites this paper.

Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs Orca 2: Teaching Small Language Models How to Reason

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T02:23:44.260196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:23:44.260196Z digest=sha256:0894c4ff8bd13347ce26d322f00625ed6d214773d44fc2545ed04bc725c54c0c

Observation 01e7acb6-7832-42c2-b2f0-a548372fbe6e · inbound

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models cites this paper.

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models Orca 2: Teaching Small Language Models How to Reason

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:26:23.266438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:11:50.343466Z digest=sha256:31f906c82f766df32f5f81f6471fa6456b3b53e794f61eded0b34868369e6ab8

Observation 9cc7c717-d732-496f-8a15-bf38375c58aa · inbound

LLM-Agnostic Semantic Representation Attack cites this paper.

LLM-Agnostic Semantic Representation Attack Orca 2: Teaching Small Language Models How to Reason

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:21:24.183709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:14:08.629862Z digest=sha256:91dc5ebe08d938a5028ac043b5d8cd54c72f983ffcf616bf40727ee6563ec592

Observation 6e59c183-e6a1-4eb9-8216-45b8b4f8e8d2 · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Orca 2: Teaching Small Language Models How to Reason

Reference 113

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:32:46.661133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:bd967951abb06fcfd2452ff95a290f45acf9414b92c03c18787fe49ebf97a018

Observation b453ab19-9972-4c29-bb92-592318ffc9b3 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Orca 2: Teaching Small Language Models How to Reason

Reference 235

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:41.757833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:41.757833Z digest=sha256:0b0f2cbac09464eb8c5fbcc43634ffe5e037279ad445cf3d620ed6689bc1750e

Observation 377188ef-1821-4133-b3c4-835e54cfc68e · inbound

Enhancing Multilingual Reasoning via Steerable Model Merging cites this paper.

Enhancing Multilingual Reasoning via Steerable Model Merging Orca 2: Teaching Small Language Models How to Reason

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T20:39:56.024950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T20:37:26.295906Z digest=sha256:743d27d05def062db1f547f3b1089a2d46237cae47675e95a513e88c2b8da444

Observation ff2084bc-af69-44b2-9c6f-7a9527d03692 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Orca 2: Teaching Small Language Models How to Reason

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.124059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T05:14:07.208255Z digest=sha256:ca8a2489c11ceb40ef11abce9be3041b81ac3f441aa3e1bb55747cf4c09dfb48

Observation cd807c83-319f-49cb-a4f9-93d02abeb9bb · inbound

PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects cites this paper.

PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects Orca 2: Teaching Small Language Models How to Reason

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T14:28:18.170051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:28:18.170051Z digest=sha256:3c65786e464e747af7512d310fa59052be5a898e4875e6a14f38683673e7eee7

Observation 160b54b8-f389-4c7c-9d18-9aa9c86d1fae · inbound

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus cites this paper.

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus Orca 2: Teaching Small Language Models How to Reason

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T14:15:05.201431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:15:05.201431Z digest=sha256:a4a886f83b754968cf655301b22f14d1fc4c232a4c6c9a9d6f1334cbecedfcf3