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Paper Citation Record · LEDGER

How Many Instructions Can LLMs Follow at Once?

As of 9 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 2026-08-09T06:31:02.800959+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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:13:45.779026Z digest=sha256:29559702a4fd347a2a08a0a73e90c2064a51d3e88bddcbf5ae6f481ddcd24ec6

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:b5f5e75706bce4f7ee6281e5ef3138c43dfc0b0d990665f79247826d0b0876d4

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=sha256:2eb468025ba57c16b94899fd59c67ab040547e1e10167bd186f8d19a2de832ad

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.161868Z digest=sha256:c944054ace13c52f8429f1300327b840aae417c64902cfb74b38a5ef967f8c40

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:46.263099Z digest=sha256:e64d336bb02525911e2faa9e42bc2c33e728553e09c439a13336dbedfc9c3219

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=sha256:8b5702701d48f875d1c1d2d2214ebbeb430519d0f1b47daea656dacacd7dc611

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:e80cc20ad124b25e486dd60138644bca9e624c97e6a6cf89ea1bc1316b657a86

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=sha256:0c9f8ae4fc9ca34946e5f0d00e4a86baac99f0d3b3213f5c6f52e12d5065ebc2

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:f1a406670ac3e44d3e04e8c9b1321164311e176d7cd8e17e7e6a3c3e2cefb5d2

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=sha256:4c48905b8f1d703b9207ee2d54133fca68d55a686d390e23bded9d3c458abf9d

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:fd31f8cc61c588cb6a8cf2c2916fe3b877d23caa96646b3b190d5a5ab9968c3f

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=sha256:159fbc0cd858c930559a6e5cbf59e7e7630910a2d2adc7714b3d91780639aaff

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:ff1179fa98b322d1a02d70f51311d93ab4d5a362aad0bd7c31f8662e65921396

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=sha256:96580f6f905acff36e9fe1edc0bfa816c9380f13bb17812dc466e1cacb72dc08

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:de3d7143b1b557aa929b35e113d60b7c1cb451a0b6fcf77e32b5245e02b0103b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:47.442663Z digest=sha256:7e435d93a217cc2fd24ccd62d95e064452947374409666b4b97d2fdaf40f6bae

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:e78d5987c71bdc6e3815c7a037710b6c08209e3d07ae069001a8d092f1061732

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=sha256:64bb4660de17bdc44f0f9ab1bf347f02fa3c3b307e246dd32d47a68fda50ac35

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=sha256:5ed0655a391057cbdb2d94fa403dc498ff3226aba29d2925651d437b0717a71f

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=sha256:60530313f8fdf43e446743ad0ccecf56b7fb72e80ec82bb27d9cf4332c874e18

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=sha256:60167a6e7edac3801ebafe1623cea1ed961ec7e41679e10e12f4e93e51fee7ce

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=sha256:318d1c8eac296b2bf365b422dc88c6424ddbadef9141a1f36cabd3fa20d12e70

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:a9b3571baa230957c9f82a59552eae55c39ffae8faba58123fd89920c1090590

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:abcd0f68c8c21ae13a729bb9d5264776ba4c34e9e9e2ac144963a212091ca4e6

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=sha256:111688f8c2a840796834e3c6e581611b8cd3b4dbc1c273cec81477aa7b6c5c25

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:faabe279eff0d97a09311ba54e80b7a9958c402684ecf43dab7b0960e64a09db

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:c2e0b5f5d4d786bc10eea6901f83a7d5a2ce3f5a8efec76a2e0b93dea97996aa

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:c7528ee768286bf0ee1816f6d497eef6d0577f32024c6aa22c92dd685f59c40c

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:efc4326a7eb9ba5fb36aeee9a17c2739cb0bdde0ef0bbff903cd3b8feb027bba

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.036526Z digest=sha256:598f96810ff464ac15c4959505a8ce5a79faa98d9a743bda11ba2d0c28e60299

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:13:49.185555Z digest=sha256:4750ffad5e4d8b898d64613d343e3938ea702861c1c2f582f6e7f65cd188215f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.325424Z digest=sha256:a664a3a037c8413202b58dcae25ffa0e9d97e036922d7a994240e8a322c2d791

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=sha256:2afe11e45c5e4fff5b1706fc9c21c6cfe55bfa1a8edf8ceaad106f504f5e0b05

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:13:49.586408Z digest=sha256:693fffac48823db25315f5a82c370765e932ee3c9697a46b2cf42a86c30e2f1b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T11:48:58.105919Z digest=sha256:641f4a01ef6673ef2b6244a7d833a259ec3043b74aaaf4dfb8b39245613f22dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:4dddc4199b5d351eebc89b5d95f7291a38536be1e2f25d238d7bcc640ca40b03

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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