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Paper Citation Record · LEDGER

How Many Instructions Can LLMs Follow at Once?

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:95c677567e89a7f3655f459a9c629e71dbc5dcf43782f231679fb2effa8bb59d

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=sha256:8f16abbf08985447c55284ee18c507222ca9cc21a212faae5c73debf2e438d53

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=sha256:6195bd3bed0cfef138a577e205f7f8e4cd493dc43fd93931e01cf0f0d8c75023

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.161868Z digest=sha256:c683052d919cb357bed56865e6fffd176ab3a06c674f7a4e7d4ef9823e06c623

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.263099Z digest=sha256:a5aa53f11a616aae61e353adad470f0b0959ca465cd030142d296b293e4a12b7

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=sha256:036cd1f0c4d77ab809d3dbf0450ff3c15c935d8bfd40484228b1a74baa417e61

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:a470891a1d57e7da9c200df9fc14c42e72f866fd95e3cbdf23a298a54b1f1032

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=sha256:2a8bcd86ce6fee142679860511ef80fb540e656feb3f78ba9ca5e795cd409753

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=sha256:6593f80659d385330ba9f0c0edb5e4f3806b3bc27e51b67002695761956ee2f5

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:ea934a9c66dc15612f3d82259445d6bbac1a2f96b92c1b1d18e89ae044e6ffaa

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:fc48626c064dd327945d6ab1b60e3b961870f04c77a6ac255ebe05d75f13d1ed

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=sha256:5473d406a50542818fec530c86b28d7d0c185b73619fcdc899737daa41754cc7

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=sha256:0861bc781b03b87a2f7c3b7cce8a4c79982ddeffea96ef7beefdd321cc4d0ec3

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=sha256:7c66bc96294601e76203c5ecf5c738186a16fba6403fbb5562fed39da97cea3a

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=sha256:48d915705a117277050d50c6f9cedbc68c53fb9bae1b9632af176f0336d4b4b4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:47.442663Z digest=sha256:6c3e29dcd08040faf8b1c393c854ed323c22d31566b70dbe39c9419b411e6dd3

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:d2777bd0d04bfe4a3c532f71bba0f5e00bdbc37e659764a35d0cd72abbc0bcde

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:c6ce7bf7c410bf9d0a6855f0ad028bfc157cdbac2fc80cef6234d57ac7ce253d

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=sha256:962491d103bf22bc122ec92619c30a37532634287ecbceea33fdb0dcfbdab49c

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:ec846092ce5da8e73b9800fef3a63341abf0e4badcaa0ec65f44a1187278bd2a

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=sha256:789d10f53272ea22c4d3d28cd1115b4960dc12ce4cd0690bc76d261d7a7afa7d

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=sha256:5236641a1094e1a78729beb6f7264f4518ac8c3cc02b50f11ee8d0830907cdd5

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=sha256:84571048f0d7fc026cc97f46b62d13ec98d8f36dd59ecf0a1ffbf114069f681c

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=sha256:32eabbf15a868a7fd15adb9670bd06224e260b0143af06382cbe92b6b350fe11

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=sha256:4a146e447c0736a787aa85bd7a85feb54c1fedf5597187a7e4ac4d5bea93c697

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:a4f87eea56c97bfb3fc475ea61943a459889d0425575a15d02c3f253086ebd8f

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:dd9f07f3ef6cf84586fef1dc50ee3394420a51b74591021bb003e12949b43f2d

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=sha256:1f2a23eb09db9b674b9fe248c3d62b74f9d42c8fb8da75bce799f6f0139b2810

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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source=arxiv_source observed=2026-08-06T17:13:48.914565Z digest=sha256:c09dc1c342d5b5bc73f8855110cdde1baacd545de4e91a19cd033e712574a211

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.036526Z digest=sha256:ed5227dd7373b67b0a41165e710d63b09a96c10530aedfbfe01bce85285d0521

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=sha256:2d596a5c312faeed5720b31e5f8031920f5bef6728afebe1ddf27fe482a435c7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.325424Z digest=sha256:23f96e7d98f1500aa70f2b1c48cc6dbc26eebfcb88fd1ec0196310545121c7d1

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=sha256:3a781c8f3edf59f94c9f93d45bfabcb76de65c137150d5488df0517f3bed0582

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.586408Z digest=sha256:da731a9c62c88fba2191b32d8070214db71b10c269656d4349ae2a83bb3665c9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T11:48:58.105919Z digest=sha256:670a3f758a4437c757d4754f5574ace6880d1bcd25bfc6e0d78e51ac9b5865f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:715ad3294521e9444c3b17183d59a7863595804f3cc16eb8452f01ddcf69da66

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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