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Paper Citation Record · LEDGER

How Many Instructions Can LLMs Follow at Once?

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 3 inbound Pith citation observations for arXiv:2507.11538.

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

pith.paper-citation-record.v1
2507.11538 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:13:49.586408Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:01:01.121178Z

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

34 of 34 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ca9f6e58-5f8f-46ca-bc5a-4635c7a5dd83 · outbound

This paper cites write newline.

How Many Instructions Can LLMs Follow at Once? write newline

Reference 1

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source=arxiv_source observed=2026-08-06T17:13:45.779026Z digest=sha256:6375ae45d60cf17850d5cd76398148b63daa76dfe09d7615f8ba17d3650ceec5

Observation 9d0b0743-619b-4279-a162-ba8e6b1c7719 · outbound

This paper cites @esa (Ref.

How Many Instructions Can LLMs Follow at Once? @esa (Ref

Reference 2

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source=arxiv_source observed=2026-08-06T17:13:45.887829Z digest=sha256:d0793374ec16e97dfe7063194ddfce6d7b49ea345ec97efded6f0f23f8db83f6

Observation 69a3277f-c5b0-406c-a048-23d724494bbc · outbound

This paper cites an unresolved cited work.

How Many Instructions Can LLMs Follow at Once? Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-06T17:13:46.016674Z digest=sha256:58c656e0db7f470b412f8faa52522982a843dc20b00a210f6f715398b2d7b8a5

Observation 84d6ed4d-b2b4-435c-ae8c-af1a58c8934f · outbound

This paper cites an unresolved cited work.

How Many Instructions Can LLMs Follow at Once? Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.161868Z digest=sha256:8cc96a398409581efd5b60a243c331369db15e5e8125cd6e7bd73f049344dd37

Observation 51e12f2f-e7a8-471c-8fd0-ab9790af25ab · outbound

This paper cites Chan, Chao-Ting Chen, Jui-Hung Cheng, and Hen-Hsen Huang.

How Many Instructions Can LLMs Follow at Once? Chan, Chao-Ting Chen, Jui-Hung Cheng, and Hen-Hsen Huang

Reference 5

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raw_fallback, observed 2026-08-06T17:13:50.975878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.263099Z digest=sha256:7da767a983be339f54fe84aff7600a9b2cc91501dd7f11568df63735325f8a6d

Observation 810f1821-6310-4e7f-93ef-0ccc4e718ae1 · outbound

This paper cites Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL.

How Many Instructions Can LLMs Follow at Once? Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL

Reference 6

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source=arxiv_source observed=2026-08-06T17:13:46.345163Z digest=sha256:4e85e68934de1bc2f908e47e1a9c910ffeadd59eccd733bf694040ab8b64f5a0

Observation 1fe5078d-15d3-4a82-88be-165b410fd056 · outbound

This paper cites Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation.

How Many Instructions Can LLMs Follow at Once? Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation

Reference 7

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source=arxiv_source observed=2026-08-06T17:13:46.539995Z digest=sha256:f895d1b9fa8142948920dfef94b43b01d1519b6f444c6d5948cba1d790a96bd6

Observation 23a6c88a-1249-41fc-bdad-1215b9b68bf5 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

How Many Instructions Can LLMs Follow at Once? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=arxiv_source observed=2026-08-06T17:13:46.659730Z digest=sha256:4b06e4f568eb8cd94729c162d2a679e50a023a6da00362bdb8fe88d06bb32e4c

Observation 8853b130-a4b8-4367-a82f-ebfdb76acd24 · outbound

This paper cites Serial Position Effects of Large Language Models.

How Many Instructions Can LLMs Follow at Once? Serial Position Effects of Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-06T17:13:46.716823Z digest=sha256:35aa5d308a7ae890a829e269f233605eeb74fe20da4497296ac82c6616110af9

Observation 5f0dbac0-5e3c-4117-afbd-ad55364688dd · outbound

This paper cites Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

How Many Instructions Can LLMs Follow at Once? Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following

Reference 10

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source=arxiv_source observed=2026-08-06T17:13:46.778264Z digest=sha256:5077414315dcf39b116efd6f2184cc7efe39f772204fcc1ff4baa05879c805de

Observation 260dddb6-69d1-4bb1-b4f7-de677c8b2d5d · outbound

This paper cites LLM Agents Display Human Biases but Exhibit Distinct Learning Patterns.

How Many Instructions Can LLMs Follow at Once? LLM Agents Display Human Biases but Exhibit Distinct Learning Patterns

Reference 11

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source=arxiv_source observed=2026-08-06T17:13:46.892762Z digest=sha256:a923af03e29fca0c7b8ae25f910807669524de4514c9a2e4feb88735dd117178

Observation 84259146-93c7-4e8b-bdc9-33d72c10d5b9 · outbound

This paper cites LLMs can be easily Confused by Instructional Distractions.

How Many Instructions Can LLMs Follow at Once? LLMs can be easily Confused by Instructional Distractions

Reference 12

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source=arxiv_source observed=2026-08-06T17:13:46.971726Z digest=sha256:d08e8395301d96f6edc55bd1292c3ff03ec8d847f7e00a774eb5155170a1c660

Observation 3a2b176a-8bcf-4207-b9d0-f2b39abd00f9 · outbound

This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

How Many Instructions Can LLMs Follow at Once? FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-06T17:13:47.092552Z digest=sha256:308d28882bf97a19a5502233caadb3b344828891e1217ee0db06768364d897ee

Observation 01b32f49-366c-49ab-8178-7a476c009360 · outbound

This paper cites FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models.

How Many Instructions Can LLMs Follow at Once? FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models

Reference 14

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source=arxiv_source observed=2026-08-06T17:13:47.227859Z digest=sha256:d60203e4cad41ecb6f0dbfebb6a4a8ff549601b471ff1eff4625139075c0af1a

Observation f0c49e1d-a04d-4bac-8f9e-7a566d9d3b27 · outbound

This paper cites Agent-S: LLM Agentic workflow to automate Standard Operating Procedures.

How Many Instructions Can LLMs Follow at Once? Agent-S: LLM Agentic workflow to automate Standard Operating Procedures

Reference 15

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source=arxiv_source observed=2026-08-06T17:13:47.311314Z digest=sha256:6ebfddd69669b7a3582404b4b6dd23654d354a785e83d6607eca77499d6d1e76

Observation 4dac7672-2cce-4977-9b64-ae2e4224034f · outbound

This paper cites R e IFE : Re-evaluating instruction-following evaluation.

How Many Instructions Can LLMs Follow at Once? R e IFE : Re-evaluating instruction-following evaluation

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T17:13:51.381690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:47.442663Z digest=sha256:9a2a07054b926df46fe89bd60d6459d0a48059c898ed69358fb5d471d06b6839

Observation c821294f-a17b-4bb5-8330-4cc950f2fed9 · outbound

This paper cites Large Language Model Instruction Following: A Survey of Progresses and Challenges.

How Many Instructions Can LLMs Follow at Once? Large Language Model Instruction Following: A Survey of Progresses and Challenges

Reference 17

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source=arxiv_source observed=2026-08-06T17:13:47.512000Z digest=sha256:8107b704f7bf6ffe1a68fef4a0c434401b1506a1a7faadccd64fb6f7e9ab82c1

Observation 14e0a0ca-a2cf-4144-9e8e-d94b77485b91 · outbound

This paper cites The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models.

How Many Instructions Can LLMs Follow at Once? The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 18

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source=arxiv_source observed=2026-08-06T17:13:47.627451Z digest=sha256:226a124be241d7aaea2a7d0979a8dbedc1bf7be03e3b909be4f0288fdb7e83d4

Observation e569061a-8fb3-4cd4-b50f-dc82dc91032c · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

How Many Instructions Can LLMs Follow at Once? Self-Refine: Iterative Refinement with Self-Feedback

Reference 19

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source=arxiv_source observed=2026-08-06T17:13:47.726443Z digest=sha256:da2a921afd87f76b0f5927de5b3a1729557b9bc1a9eb1848ec85fa63f40ce126

Observation 3cbed574-85f9-45fa-905c-b59b087e2aed · outbound

This paper cites Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

How Many Instructions Can LLMs Follow at Once? Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 20

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source=arxiv_source observed=2026-08-06T17:13:47.824631Z digest=sha256:26496c611b1432904f1b8ad810d25986588eff29046db64e61a0871d36ddd0ef

Observation 276eb3df-1a3f-4010-981b-12ad96b146a4 · outbound

This paper cites OpenAI o1 System Card.

How Many Instructions Can LLMs Follow at Once? OpenAI o1 System Card

Reference 21

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source=arxiv_source observed=2026-08-06T17:13:47.921291Z digest=sha256:d2afe7083b7bc0b6c2b53f09724ec964576e13f8bf90c360066d255f077d5a2d

Observation 28e6e28e-40ba-4654-84fd-81069ea6f0b0 · outbound

This paper cites Training language models to follow instructions with human feedback.

How Many Instructions Can LLMs Follow at Once? Training language models to follow instructions with human feedback

Reference 22

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source=arxiv_source observed=2026-08-06T17:13:48.036505Z digest=sha256:d6de354a8c17487b310da83ac790ab7853e04c9e7dcc0e84db5ace164713d77f

Observation f74d36e6-0f70-43f2-b273-de6978fb4015 · outbound

This paper cites I n F o B ench: Evaluating instruction following ability in large language models.

How Many Instructions Can LLMs Follow at Once? I n F o B ench: Evaluating instruction following ability in large language models

Reference 23

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source=arxiv_source observed=2026-08-06T17:13:48.129582Z digest=sha256:e1e23e56d5f19b206f34140b358e2afa655c5cc48267010f1c4170c3bed57a5d

Observation b9c452ec-6475-496e-855b-f1df7891522f · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

How Many Instructions Can LLMs Follow at Once? Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 24

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source=arxiv_source observed=2026-08-06T17:13:48.244178Z digest=sha256:dc0605763183274cfc58834069904c2dc807d433abac28d69cde2f93fecc5250

Observation c64e7757-b5ca-49ec-bc5a-46533b783150 · outbound

This paper cites Dynamics of Instruction Fine-Tuning for Chinese Large Language Models.

How Many Instructions Can LLMs Follow at Once? Dynamics of Instruction Fine-Tuning for Chinese Large Language Models

Reference 25

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source=arxiv_source observed=2026-08-06T17:13:48.362274Z digest=sha256:cec12f0d9cefd7fef723d0c83fd04269e1ce5c2f4c3c83a9fd1406e23afc1230

Observation 8e40ea39-24fd-47f2-8de0-87dfe149d1f2 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

How Many Instructions Can LLMs Follow at Once? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 26

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source=arxiv_source observed=2026-08-06T17:13:48.504449Z digest=sha256:5c07a092cc7c4a0ed778759ac0dbeb9facc6bef52c5f74a9dac9c23a87094fd2

Observation 62c60e7f-b328-4f8c-b3e7-ffbce0dec6a5 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

How Many Instructions Can LLMs Follow at Once? Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 27

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source=arxiv_source observed=2026-08-06T17:13:48.632863Z digest=sha256:ef60c4c55c9a90def63a25aad67a34cb0563df81255db715f46ec9f646327f80

Observation c2b357c9-edff-4b74-abd5-0e56abc9705b · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

How Many Instructions Can LLMs Follow at Once? Finetuned Language Models Are Zero-Shot Learners

Reference 28

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source=arxiv_source observed=2026-08-06T17:13:48.777572Z digest=sha256:455c59a965324ebc76985a237c98709eb3e2339b556464ee2046e8cc60a19eef

Observation 49edf954-780b-4aae-9d34-cc79de72152a · outbound

This paper cites Benchmarking Complex Instruction-Following with Multiple Constraints Composition.

How Many Instructions Can LLMs Follow at Once? Benchmarking Complex Instruction-Following with Multiple Constraints Composition

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:13:48.914565Z digest=sha256:cfe204642605a8ada1fc97d08a00fdf0be31b11f68191c0dcad1e96a8882433a

Observation 44519a47-2140-44a6-92d4-b22b6744e89c · outbound

This paper cites an unresolved cited work.

How Many Instructions Can LLMs Follow at Once? Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-06T17:13:51.145676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.036526Z digest=sha256:b5602d3512397865eb1c75e0d6eda732c023faff8d6e9c0fafb6cc492e1edb9f

Observation c249ff9d-a7e9-4fc4-b906-f4c8ff545b60 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

How Many Instructions Can LLMs Follow at Once? A-MEM: Agentic Memory for LLM Agents

Reference 31

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source=arxiv_source observed=2026-08-06T17:13:49.185555Z digest=sha256:725a753908f44746943e8f5282727d04eb5589d71f3912138f5b5bf8a2908cbb

Observation 21c62638-cb23-43a0-85cd-8f799d61d798 · outbound

This paper cites Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following.

How Many Instructions Can LLMs Follow at Once? Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following

Reference 32

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verified exact
local_arxiv, observed 2026-08-06T17:13:50.037765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.325424Z digest=sha256:1cc6e75754d42219dac28d4c4f13eeb23d4ee3e7e1865b75b0d9c53e29468cf5

Observation 48045699-0f93-4bdf-b076-0201f9087438 · outbound

This paper cites Evaluating Large Language Models at Evaluating Instruction Following.

How Many Instructions Can LLMs Follow at Once? Evaluating Large Language Models at Evaluating Instruction Following

Reference 33

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source=arxiv_source observed=2026-08-06T17:13:49.466269Z digest=sha256:63763db726296e2bbdef07a596b985a1a56de86c62b048cbc0a10dafb07694e5

Observation c3c163ee-c0c8-4808-822e-3e1d3347038c · outbound

This paper cites UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation.

How Many Instructions Can LLMs Follow at Once? UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation

Reference 34

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verified exact
local_arxiv, observed 2026-08-06T17:13:49.826769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.586408Z digest=sha256:8cc1db721b103774e463798c9f0a6d236d7d61a7dc62ed3120cb224b8fb1fcdd

Pith citing papers

Observation f04db62b-37c4-412f-a614-53c5d91e74a8 · inbound

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding cites this paper.

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding How Many Instructions Can LLMs Follow at Once?

Reference 12

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arxiv_id, observed 2026-05-11T19:31:08.722600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-08T11:48:58.105919Z digest=sha256:deecd266bdb6466dded93613925d404a294e6da42a210d1efe7957115a051aeb

Observation c2f0e3bb-621d-4033-98a4-842f9b702ca6 · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language How Many Instructions Can LLMs Follow at Once?

Reference 148

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arxiv_id, observed 2026-07-01T08:25:33.016922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:04aad44ee057f2d1be5adcc46ebe2cd492a39d10a432a7d09602daaab5ce0ec0

Observation 3c17d24f-a1de-47d9-aa5a-77bf277a5dae · inbound

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models cites this paper.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models How Many Instructions Can LLMs Follow at Once?

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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