Paper Citation Record · LEDGER

Hierarchical Reinforcement Learning with Targeted Causal Interventions

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.04373.

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

pith.paper-citation-record.v1
2507.04373 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:01.602504Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy12
unresolved8
parse uncertain2
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcd355d3-c603-4b23-a5b9-f8a40174012e · outbound

This paper cites For” loop, it records a trajectory τj. The “While.

Hierarchical Reinforcement Learning with Targeted Causal Interventions For” loop, it records a trajectory τj. The “While

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:06.021733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95ea9249-855c-411c-a23e-662050c6afee · outbound

This paper cites As we mentioned earlier, q1 is the upper bound on the expected number of the nodes that are ancestors of the node n.

Hierarchical Reinforcement Learning with Targeted Causal Interventions As we mentioned earlier, q1 is the upper bound on the expected number of the nodes that are ancestors of the node n

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:05.944378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69954592-9938-4d56-bf2e-2c8dc644aadb · outbound

This paper cites At this point, we have constructed Ijr.

Hierarchical Reinforcement Learning with Targeted Causal Interventions At this point, we have constructed Ijr

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:05.518464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c607cc7-9191-47d2-aed3-1feccd0c5f42 · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:04.057351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation edde5922-6480-4b98-ab29-786f37d13290 · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:05.828947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42e29f81-69a3-43a8-b12a-03053e05786f · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:05.693361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa4077de-a00f-4075-9185-2e15929efd7f · outbound

This paper cites We define a function parent pointer : Φ → Φ, which assigns the corresponding parent of a node gi.

Hierarchical Reinforcement Learning with Targeted Causal Interventions We define a function parent pointer : Φ → Φ, which assigns the corresponding parent of a node gi

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:05.217088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e8f781a-6a32-4a70-8290-de481f5cb137 · outbound

This paper cites • If gi is the goal, backtrack to construct the path.

Hierarchical Reinforcement Learning with Targeted Causal Interventions • If gi is the goal, backtrack to construct the path

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:04.993906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fdd8088-47d8-400b-8192-c94b8819f64e · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:04.830033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d7564ee-af70-4be3-a534-1afc40a97600 · outbound

This paper cites We define a function parent pointer : Φ → Φ, which assigns the corresponding parent of a node gi.

Hierarchical Reinforcement Learning with Targeted Causal Interventions We define a function parent pointer : Φ → Φ, which assigns the corresponding parent of a node gi

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:04.636736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85b7b82b-c5fa-4cc4-a2ce-39d18e44cbd0 · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:04.475273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a16f74e-6055-4dfa-af95-128e97919592 · outbound

This paper cites – For each neighbor gv of gu in ˆGt: * Set w(gu, gv) = |C HˆGt gu \ back track(gu)| + 1.

Hierarchical Reinforcement Learning with Targeted Causal Interventions – For each neighbor gv of gu in ˆGt: * Set w(gu, gv) = |C HˆGt gu \ back track(gu)| + 1

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:04.279653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8eb58f2e-b6e1-4739-badf-4d54b33deb9d · outbound

This paper cites This implies that in all possible assignments, at least one parent of gi is always 1.

Hierarchical Reinforcement Learning with Targeted Causal Interventions This implies that in all possible assignments, at least one parent of gi is always 1

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:03.743170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a35dfc16-e6ec-4fd6-b17a-0a9593aa35ec · outbound

This paper cites This means that in the collected data, if Xj is one, at least of some other parent Xk is also one.

Hierarchical Reinforcement Learning with Targeted Causal Interventions This means that in the collected data, if Xj is one, at least of some other parent Xk is also one

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:03.450693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5db77dc-54b7-4b3e-bc67-5d6e4c1cdc69 · outbound

This paper cites Thus, the AND operator equals to 0: θi(Xt) = ^ gj ∈PAgi X t j = 0.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Thus, the AND operator equals to 0: θi(Xt) = ^ gj ∈PAgi X t j = 0

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:03.115544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a059b745-1826-4392-b327-b64a4db82a01 · outbound

This paper cites This means that if Xj is zero, at least of some other parent Xk is one.

Hierarchical Reinforcement Learning with Targeted Causal Interventions This means that if Xj is zero, at least of some other parent Xk is one

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:02.908195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5cc87883-af28-4119-a045-0c75be5b4e8f · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 19

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T19:59:02.610404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8419e1d6-20e4-4c15-b4a2-176bb38a79d9 · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:59:02.369210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bfd4648-1748-4764-9424-c2d5a7829dae · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Unresolved cited work

Reference 21

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T19:59:02.158132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c33044bd-59e3-4cb9-aa43-89263fdf337d · outbound

This paper cites oracle goal space.

Hierarchical Reinforcement Learning with Targeted Causal Interventions oracle goal space

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:01.882505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69459973-4e23-4b37-8620-6369ffb101a3 · outbound

This paper cites MineRL: A Large-Scale Dataset of Minecraft Demonstrations.

Hierarchical Reinforcement Learning with Targeted Causal Interventions MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 1528

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:59.435876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9faebd17-940c-4b85-a192-68f2b8d61b45 · outbound

This paper cites Learning Neural Causal Models from Unknown Interventions.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Learning Neural Causal Models from Unknown Interventions

Reference 3119

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:59.513260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.