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Paper Citation Record · LEDGER

Orca 2: Teaching Small Language Models How to Reason

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 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 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:37:09.508799Z

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

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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

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source=pdf_text observed=2026-08-12T16:43:27.697075Z digest=sha256:cd916456796a27f4238ae25b209368447689ade00dcc4ebd3309f393cf918306

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

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source=pdf_text observed=2026-08-12T06:02:33.959256Z digest=sha256:bd6cf749d26be145abbcb9f80896a976388d311bf73b1ed70faa99c710b491f3

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

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source=pdf_text observed=2026-08-11T18:05:58.801918Z digest=sha256:bd2888eb892176e98029231c09006ae9aa81061930651f58a90b2c9af497db85

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

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source=arxiv_source observed=2026-08-11T14:47:03.953299Z digest=sha256:664687315af57c8dcd7e6103f4b13511bfcfbbaec94b78607594cbe434783d44

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:19:18.918005Z digest=sha256:3e91b4a0948ec4e5b2b7d7b3f6cff12e438d3867788dcb71b25edb73b4ff4d53

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:37.186069Z digest=sha256:f93c1dcdca0d1e798f10b3833317f50b0f8c993f9f079a4557c29f379188e9b5

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:23.263283Z digest=sha256:54fed6264b2a52e40f7df8388dd8fc28db9a9d7e14284e22b9fe78fff2993481

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:4ad0b2af740e1a1fd0effaab47994a4be74e92f409e3ba1efed3de37eef16db8

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:44:16.992688Z digest=sha256:8a1742976cdd359d8811b275968b689c4ee6ea8ead0ca6f3214af94b0511fff3

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

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source=pdf_text observed=2026-08-10T19:04:34.967217Z digest=sha256:196305db28c1b19fc6fbc198ed35d42ec58fbf61e61cab4c4857b52a794d3c6c

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

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

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source=arxiv_source observed=2026-08-10T18:27:29.607313Z digest=sha256:5ad7844f66d9e0f4a04aef9755b444d40f7fccac08e7244dfef96f08d2074704

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:a541ebba96b230738ae2d2da5756109cfb2d4808866f39f16d95b9493c8c959c

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T03:40:25.706499Z digest=sha256:633d7756d576887823fd96979d0285af501d9f9301784518a2e847a717e8c79a

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

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source=arxiv_source observed=2026-08-07T15:12:27.821363Z digest=sha256:8deca8c821c72896e7107fcfb66d5f20d071fd312d59d56470358489a799af09

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

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source=arxiv_source observed=2026-08-07T12:40:22.619372Z digest=sha256:2dc13e9a526d9c780e64407c0f9cc527af080c91f89ec920dfb8dee2b21e47f3

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

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source=pdf_text observed=2026-08-06T22:07:04.286535Z digest=sha256:d04b7c4f204b26190ac0f4824c5e9245b2aea0a38a9f1b6c44635acfee307da2

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

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source=pdf_text observed=2026-08-06T18:47:53.641886Z digest=sha256:a444c03b52d87d8819c20ba1c4c3b3802e5393c38c9dbdd9f3b047dc2506ae95

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

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

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source=arxiv_source observed=2026-08-06T18:38:57.399962Z digest=sha256:dd9e230ea3a709ce489b37d7bbf603c6655a0935b99e6b60a46c9b067d4da4c9

Observation ea5b6d0e-f117-4d15-85dd-d56755ed94b2 · inbound

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection cites this paper.

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection Orca 2: Teaching Small Language Models How to Reason

Reference 2024

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source=pdf_text observed=2026-08-15T17:37:09.508799Z digest=sha256:af92718ea5c448c7ec561555551fba756adf30642ab0c3594a3302fe0144f7e8

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

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source=pdf_text observed=2026-08-05T21:03:14.989300Z digest=sha256:02a8e0c18d6103a3fc04051baa9e43ae22873d7129e8715487c97b165cbb98ec

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T13:18:51.478013Z digest=sha256:81a955279e2de8c515e18fadf2cd0450232343ab6e21feba96bce68d36df394c

Observation e3a49281-c22a-4906-b1bc-43370d342867 · 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

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source=pdf_text observed=2026-08-15T15:50:45.047347Z digest=sha256:fd5a74dba5ed2f888ea8b55f54375dcb91c26c667e70e130326c317411dedec5

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

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source=pdf_text observed=2026-08-04T09:40:27.140468Z digest=sha256:7a5daa819beec00b42da60da368357c84c3d15ea4575632e2c86446948537015

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T18:28:58.515666Z digest=sha256:4f4660e91a8a0fe1779349d5367adc2b9135075258fb8dd8ffd2a382767a51cf

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T07:18:49.076088Z digest=sha256:3842aba74d22d441e66d310703ee86e9fa96cc1b35cd1414c0df07bc7c24b9b7

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T17:18:05.789417Z digest=sha256:927fb124d9d827eaae9040854b4401b0225b2a8851743702761a06793183b895

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T06:49:16.271699Z digest=sha256:e1bf88a88efb90adbc1bfa11a8eb42f9771b2bd6adea11349e43edf5ecf7098d

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

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

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source=pdf_text observed=2026-08-03T02:23:44.260196Z digest=sha256:02e59e1bd400f6ce354e66900a630c45156fefc58ee2739e9c62b0fc534351c7

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:11:50.343466Z digest=sha256:8f01e6c01fadbcb09a389a0a8a77eff72e417af0a2a436ce437fab75fe335f3d

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:14:08.629862Z digest=sha256:4e99e72bf3dda7fb2291afa426681cd826d42b6f53c6e502faab6247a803c67a

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:d35b26c28f8bf83924d583f47e1db88c1d2a5cac27d7fea5d15b35da53a2d5eb

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

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

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source=pdf_text observed=2026-08-02T11:29:41.757833Z digest=sha256:cf1d25037a7015195fee3b469f5e7b4c1b2bfce8c046df5d52b22c6eb0b78c1f

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T20:37:26.295906Z digest=sha256:570deee313af97131511d502deabee5a2c1c58483ce16d2b5becdc1ba7f6562f

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T05:14:07.208255Z digest=sha256:c54333567e3d68689ebefe6eee39151dd2c8e8a0b68a396e07a817342a9fac7c

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

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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

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